1. A smart home technology system for efficient energy management, comprising: a centralized control unit capable of communicating with various connected devices in the home; a plurality of energy monitoring sensors positioned throughout the home for real-time tracking of energy consumption; a user interface for receiving user input and displaying energy consumption data; and a decision-making algorithm that autonomously adjusts device operation to optimize energy usage based on historical data, real-time monitoring, and user preferences.

2. The smart home technology system of claim 1, wherein the energy monitoring sensors are integrated into electrical outlets, light fixtures, and major appliances for granular tracking of energy consumption.

3. The smart home technology system of claim 1, wherein the centralized control unit is connected to a cloud-based server for storage and analysis of long-term energy consumption patterns.

4. The smart home technology system of claim 1, further comprising an artificial intelligence module that learns from user habits and preferences over time to refine energy-saving decisions.

5. The smart home technology system of claim 1, wherein the user interface includes a mobile application, allowing remote access and control of the home's energy consumption.

6. The smart home technology system of claim 1, further comprising a weather prediction module that anticipates energy needs based on forecasted external conditions.

7. The smart home technology system of claim 1, wherein the decision-making algorithm takes into account time-of-use electricity pricing to reduce costs by shifting high-energy tasks to off-peak hours.

8. The smart home technology system of claim 1, further comprising integration with renewable energy sources, such as solar panels or wind turbines, and includes mechanisms for storing excess energy.

9. The smart home technology system of claim 1, wherein the system provides real-time feedback and recommendations to the user on potential energy-saving practices and device adjustments.

10. A method for managing energy in a smart home, comprising the steps of: continuously monitoring energy consumption through various sensors in the home; analyzing the collected data in real-time against historical consumption patterns and user preferences; making informed decisions on the operation of connected devices to optimize energy consumption; providing feedback to the user on energy usage trends and potential improvements; and dynamically adjusting energy consumption based on external factors such as weather predictions and electricity pricing SMART HOME TECHNOLOGIES FOR EFFICIENT ENERGY MANAGEMENT Abstract The invention provides a smart home technology system designed for efficient energy management. The system integrates a centralized control unit, multiple energy monitoring sensors, a user-friendly interface, and an advanced decision-making algorithm. This holistic approach ensures real-time tracking of energy consumption, enabling the system to autonomously adjust device operations for optimal energy use. The system factors in historical data, real-time monitoring, user preferences, and external variables like weather forecasts and energy pricing. With features like cloud-based data analysis, AI-driven learning from user habits, mobile application controls, and renewable energy integration, the system offers a comprehensive solution to modern energy management challenges in residential settings. , Claims:Claims :

1. A smart home technology system for efficient energy management, comprising: a centralized control unit capable of communicating with various connected devices in the home; a plurality of energy monitoring sensors positioned throughout the home for real-time tracking of energy consumption; a user interface for receiving user input and displaying energy consumption data; and a decision-making algorithm that autonomously adjusts device operation to optimize energy usage based on historical data, real-time monitoring, and user preferences.

2. The smart home technology system of claim 1, wherein the energy monitoring sensors are integrated into electrical outlets, light fixtures, and major appliances for granular tracking of energy consumption.

3. The smart home technology system of claim 1, wherein the centralized control unit is connected to a cloud-based server for storage and analysis of long-term energy consumption patterns.

4. The smart home technology system of claim 1, further comprising an artificial intelligence module that learns from user habits and preferences over time to refine energy-saving decisions.

5. The smart home technology system of claim 1, wherein the user interface includes a mobile application, allowing remote access and control of the home's energy consumption.

6. The smart home technology system of claim 1, further comprising a weather prediction module that anticipates energy needs based on forecasted external conditions.

7. The smart home technology system of claim 1, wherein the decision-making algorithm takes into account time-of-use electricity pricing to reduce costs by shifting high-energy tasks to off-peak hours.

8. The smart home technology system of claim 1, further comprising integration with renewable energy sources, such as solar panels or wind turbines, and includes mechanisms for storing excess energy.

9. The smart home technology system of claim 1, wherein the system provides real-time feedback and recommendations to the user on potential energy-saving practices and device adjustments.

10. A method for managing energy in a smart home, comprising the steps of: continuously monitoring energy consumption through various sensors in the home; analyzing the collected data in real-time against historical consumption patterns and user preferences; making informed decisions on the operation of connected devices to optimize energy consumption; providing feedback to the user on energy usage trends and potential improvements; and dynamically adjusting energy consumption based on external factors such as weather predictions and electricity pricing

Description:SMART HOME TECHNOLOGIES FOR EFFICIENT ENERGY MANAGEMENT
Field of the Invention
[0001] The present invention relates to smart home technologies, specifically to an integrated system designed for efficient energy management using real-time monitoring, autonomous adjustments, and user interactions to optimize energy consumption and reduce associated costs within residential environments.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The global push towards sustainable living has seen a marked rise in the adoption of energy-efficient technologies, especially within residential spaces. Traditional home setups primarily relied on manual control of devices, leading to significant energy wastage due to irregularities in usage and lack of energy consumption awareness. This inefficiency has economic implications, with homeowners facing increasingly high electricity bills. Additionally, as the global energy consumption continues to rise, there is an urgent need to reduce the carbon footprint of homes to combat environmental challenges.
[0004] Smart home technologies have emerged as a promising solution, offering homeowners increased control and insight into their energy consumption. Initial smart home systems primarily focused on automating basic functions like turning lights on or off or adjusting thermostats. But as technology progressed, the capacity to monitor and manage home energy usage in a more granular and sophisticated manner has become a possibility.
[0005] One significant challenge homeowners face is understanding their energy consumption patterns. Without this knowledge, making informed decisions about energy usage becomes challenging. Furthermore, the energy market's dynamic nature, with fluctuating prices and the introduction of time-of-use tariffs, has necessitated a more adaptable and intelligent approach to energy consumption.
[0006] Another challenge is the increasing integration of renewable energy sources into residential setups. While solar panels and wind turbines offer a sustainable energy alternative, they introduce complexities in energy management due to their intermittent nature. Proper storage and efficient utilization of this energy are crucial for maximizing their benefits.
[0007] Thus, there's a need for a more holistic and integrated approach, combining real-time monitoring, intelligent decision-making, and user interaction, to truly optimize a home's energy consumption. This invention seeks to address these challenges and provide a comprehensive solution for energy management in smart homes.
[0008] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[0009] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00010] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00011] The following paragraphs provide additional support for the claims of the subject application.
[00012] The present invention relates to smart home technologies, specifically to an integrated system designed for efficient energy management using real-time monitoring, autonomous adjustments, and user interactions to optimize energy consumption and reduce associated costs within residential environments.
[00013] In an embodiment, the contemporary home environment is becoming increasingly intertwined with technology. With this integration comes the challenge and opportunity to manage energy consumption efficiently. The presented smart home technology system is a comprehensive solution that bridges the gap between technology and sustainable living.
[00014] In an embodiment, at the core of this system lies the centralized control unit. This control hub communicates seamlessly with a plethora of devices around the home, gathering data and making intelligent adjustments. Whether it's turning off an unused light, adjusting the thermostat based on occupancy, or switching off appliances at peak energy price times, the control unit is the brain that ensures the home runs efficiently.
[00015] In an embodiment, real-time tracking of energy is enabled by an array of energy monitoring sensors. By integrating these sensors into various points in the home, such as electrical outlets, light fixtures, and major appliances, the system can pinpoint energy consumption down to individual devices. This granular tracking is not just about understanding where energy is used but about making real-time adjustments to optimize consumption.
[00016] In an embodiment, storing this vast amount of data is vital. By connecting the centralized control unit to a cloud-based server, the system ensures that long-term energy consumption patterns can be stored, analyzed, and leveraged. This cloud integration allows the system to notice trends, predict future consumption patterns, and make proactive adjustments.
[00017] In an embodiment, modern homes are not just about automation; they are about learning and adapting. With an integrated artificial intelligence module, the system not only responds to real-time data but learns from it. By observing user habits and preferences over time, the AI refines its energy-saving decisions. This means that the more the system is in use, the better it gets at managing energy.
[00018] In an embodiment, for homeowners, interaction with the system is paramount. The user interface is intuitive, providing both insights into energy consumption and control over it. Moreover, the inclusion of a mobile application means homeowners can remotely access, monitor, and adjust their home's energy consumption from anywhere in the world.
[00019] In an embodiment, external factors can significantly influence energy needs. A unique feature of this system is the integrated weather prediction module. By anticipating energy needs based on forecasted external conditions, such as anticipating a cold front and adjusting heating systems or leveraging sunny days for solar energy, the system adds another layer of efficiency to energy management.
[00020] In an embodiment, electricity pricing can vary, with peak times often being more expensive. The system's decision-making algorithm is attuned to this dynamic. By understanding time-of-use electricity pricing, it can reduce costs by intelligently shifting high-energy tasks to cheaper, off-peak hours.
[00021] In an embodiment, renewable energy sources are the future. The system embraces this by integrating seamlessly with sources like solar panels and wind turbines. But generating renewable energy is just part of the challenge. Storing excess energy efficiently and then leveraging it when needed is crucial. The system ensures that energy generated is neither wasted nor underutilized.
[00022] In an embodiment, for users to truly benefit from this technology, feedback is essential. The system continuously offers real-time feedback and actionable recommendations. Whether it's suggesting better times to use certain appliances, highlighting energy-draining devices, or recommending adjustments for optimal energy consumption, the system ensures homeowners are always in the know.
Brief Description of the Drawings
[00023] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00024] FIG. 1 illustrates a smart home technology system for efficient energy management, according to some embodiments of the present disclosure.
[00025] FIG. 2 illustrates a method for managing energy in a smart home, in accordance with an embodiment of the present disclosure.
Detailed Description
[00026] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00027] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00028] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00029] The present invention relates to smart home technologies, specifically to an integrated system designed for efficient energy management using real-time monitoring, autonomous adjustments, and user interactions to optimize energy consumption and reduce associated costs within residential environments.
[00030] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00031] FIG. 1 illustrates a smart home technology system 100 (interchangeably referred as system 100) for efficient energy management, according to some embodiments of the present disclosure. smart home technology system employs a combination of advanced technology components: a centralized control unit 102, a multitude of energy monitoring sensors 104, an interactive user interface 106, and a sophisticated decision-making algorithm 108. The system 100 has been designed to ensure seamless communication, real-time energy consumption tracking, user-friendly interaction, and autonomous optimization of energy usage.
[00032] In an embodiment, the centralized control unit serves as the communication hub. It possesses the ability to interface with various devices throughout the home, from the most basic light fixture to sophisticated HVAC systems, and even smart appliances. Its inbuilt processing power allows it to gather, interpret and react to data from these connected devices. This control unit can send commands that turn devices on or off, modify their operation parameters, or even dictate their usage schedules.
[00033] In an embodiment, the connectivity of this control unit extends to the energy monitoring sensors that are strategically positioned throughout the home. These sensors can be installed in electrical outlets, integrated into light fixtures, embedded within major appliances or even set up independently to measure power usage. They monitor the energy consumption of individual devices in real time, providing granular data that gives detailed insights into the home's energy profile.
[00034] In an embodiment, the user interface is another key component of the system. It provides a conduit for user input, allowing homeowners to set preferences, input schedules, and make adjustments to the system's operations. Besides this, the user interface serves as an information portal, displaying energy consumption data in an understandable format. It can present historical data, real-time energy usage, predicted consumption patterns, and much more. The interface can be accessed through various mediums like a dedicated home console, a mobile application, or even a web portal.
[00035] In an embodiment, underpinning the entire operation is the system's decision-making algorithm. This autonomous tool processes and analyzes data from various sources to make informed decisions about device operation and energy consumption. The algorithm considers real-time data from the energy monitoring sensors, historical energy consumption data stored in its database, user-set preferences and schedules, and even external data such as weather forecasts or energy tariff information. Based on these inputs, the algorithm makes continuous adjustments to optimize energy usage in line with the user's needs and preferences.
[00036] In practice, the system's operations are largely autonomous, requiring minimal user intervention once initial preferences are set. A homeowner would begin by setting their preferences using the user interface. These could include preferred room temperatures, specific light timings, or appliance usage schedules. Once these are input, the system takes over, monitoring energy consumption continuously and making adjustments as needed.
[00037] For instance, the control unit might notice that the living room light is often left on during the day when no one is at home, leading to unnecessary energy consumption. The decision-making algorithm would process this data, cross-referencing it with the homeowner's schedules and habits, and decide to switch off the light during these unoccupied periods.
[00038] Over time, the system learns from the data it collects. It can pick up patterns in the user's habits, like noticing that the dishwasher is often run late at night. Recognizing this, the algorithm could decide to schedule high-energy-consuming appliances such as the dishwasher and washing machine during off-peak energy tariff periods, saving the homeowner on electricity costs.
[00039] In an embodiment, the system's capabilities are even more apparent when external factors come into play. If the system is linked to a weather forecast service, it could anticipate a hot day and adjust the home's cooling system in advance, ensuring optimal comfort while still conserving energy. Similarly, if the system is integrated with solar panels or wind turbines, it could maximize their usage by aligning high energy-consuming activities with peak production periods.
[00040] Additionally, the system provides the homeowner with feedback and recommendations via the user interface. It can highlight potential energy-saving practices, like suggesting better times to run high-energy-consuming appliances. It can also point out potential issues, such as a device that is consuming more power than usual, indicating a possible malfunction.
[00041] In a typical use-case scenario, consider a family who uses this smart home technology system. They have set up their preferences, including their daily schedules, preferred temperatures, and even their preferred lighting levels. The system works silently in the background, coordinating the operation of various devices in line with these preferences while optimizing energy consumption. The family enjoys a comfortable living environment, and at the same time, they receive regular updates on their energy consumption. They can see how much energy they are using, how much it's costing them, and get actionable insights into how they can further improve their energy efficiency.
[00042] In an embodiment, the smart home technology system offers comprehensive energy monitoring through integrated energy monitoring sensors. These sensors are strategically placed in electrical outlets, light fixtures, and major appliances throughout the home. By being distributed at key points, the system can granularly track energy consumption in real-time. The data collected from these sensors provides detailed insights into the usage patterns of various devices, allowing homeowners to identify energy-hungry appliances and make informed decisions about energy conservation.
[00043] In an embodiment, the smart home technology system includes a centralized control unit that is connected to a cloud-based server. This cloud integration enables the storage and analysis of long-term energy consumption patterns. The control unit continuously sends data to the cloud, where it is processed and used to generate energy consumption reports, historical trends, and personalized energy-saving recommendations. By leveraging cloud computing capabilities, homeowners can access their energy data from anywhere, ensuring seamless monitoring and control of energy usage.
[00044] In an embodiment, the smart home technology system further incorporates an artificial intelligence (AI) module designed to learn from user habits and preferences over time. By observing how residents interact with the smart home system and adjust energy settings, the AI module can refine its energy-saving decisions accordingly. This adaptive learning capability allows the system to optimize energy efficiency based on the unique needs and behaviors of each household, making it a smarter and more energy-conscious home solution.
[00045] In an embodiment, the smart home technology system provides a user-friendly interface, including a mobile application. This mobile app allows homeowners to have remote access and control over their home's energy consumption. Through the app, users can monitor real-time energy usage, adjust device settings, and receive energy-saving recommendations, all from the convenience of their smartphones. This mobile integration empowers residents to actively manage and reduce their energy consumption, even when they are away from home.
[00046] In an embodiment, the smart home technology system is equipped with a weather prediction module that anticipates energy needs based on forecasted external conditions. By analyzing weather data, such as temperature, humidity, and sunlight, the system can make proactive adjustments to optimize energy usage. For example, it may pre-cool the home during hot weather or use natural light to reduce the need for artificial lighting on sunny days. By factoring in weather predictions, the system maximizes energy efficiency while ensuring comfort and convenience.
[00047] In an embodiment, the smart home technology system includes a decision-making algorithm that takes into account time-of-use electricity pricing. This feature allows the system to strategically schedule high-energy tasks, such as running the dishwasher or doing laundry, during off-peak hours when electricity rates are lower. By shifting energy-intensive activities to times when energy costs are minimized, homeowners can effectively reduce their overall electricity bills without compromising on convenience.
[00048] In an embodiment, the smart home technology system offers seamless integration with renewable energy sources, such as solar panels or wind turbines. The system is designed to harness and manage energy generated from these renewable sources efficiently. Moreover, the smart home technology includes mechanisms for storing excess energy in battery storage systems, ensuring that surplus energy is put to use rather than wasted. This integration with renewable energy enables homeowners to contribute to sustainability efforts and lower their reliance on the grid.
[00049] In an embodiment, the smart home technology system provides real-time feedback and recommendations to users regarding potential energy-saving practices and device adjustments. By actively communicating with residents, the system helps raise awareness of energy usage and encourages sustainable behaviors. For instance, it may suggest turning off lights in unoccupied rooms or adjusting thermostat settings to save energy. By empowering homeowners with real-time insights and guidance, the system cultivates an energy-conscious lifestyle and fosters a greener living environment.
[00050] FIG. 2 illustrates a method 200 for managing energy in a smart home involves several steps to ensure efficient and optimized energy consumption. At step 202, the smart home system continuously monitors energy consumption through various sensors placed strategically throughout the home. These sensors are integrated into electrical outlets, light fixtures, appliances, and other energy-consuming devices. They gather real-time data on energy usage, providing a detailed and accurate picture of how much energy each device is consuming. At step 204, the collected energy data is analyzed in real-time by the smart home system. The system compares the current energy consumption against historical consumption patterns and user preferences. This analysis helps identify trends and anomalies, allowing the system to understand how energy is being utilized and whether there are opportunities for optimization. At step 206, based on the real-time data analysis, the smart home system makes informed decisions on the operation of connected devices. It optimizes energy consumption by intelligently managing these devices. For example, it may turn off lights in unoccupied rooms, adjust thermostat settings for energy-efficient heating and cooling, and regulate the operation of appliances based on usage patterns. At step 208, the smart home system provides feedback to the user on energy usage trends and potential improvements. This feedback can be delivered through a user interface, such as a mobile app or a dashboard. Users can access insights on their energy consumption habits, view energy-saving suggestions, and receive notifications about energy-efficient practices. At step 210, the smart home system dynamically adjusts energy consumption based on external factors such as weather predictions and electricity pricing. For instance, on a hot day, the system may pre-cool the home during off-peak hours to reduce energy usage during peak electricity rates. It may also take advantage of natural light during sunny days to minimize reliance on artificial lighting. By adapting to external conditions, the system optimizes energy consumption while maintaining comfort and convenience. At step 212, if the smart home system is integrated with renewable energy sources, such as solar panels or wind turbines, it can intelligently manage the usage of renewable energy. The system may prioritize the use of clean energy when it is available, reducing reliance on grid-supplied electricity and promoting sustainability. At step 214, the method encourages proactive energy conservation by notifying users of potential energy wastage or opportunities for improvement. By raising awareness of energy consumption habits, users are more likely to adopt energy-saving behaviors and make conscious decisions to reduce energy waste. At step 216, the smart home system is customizable to accommodate individual user preferences and specific needs. Users can set energy-saving profiles, schedule automation routines, and adjust settings based on their lifestyle. Additionally, the system adapts to changes in user habits over time, continuously learning and refining its energy-saving strategies.Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00051] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00052] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00053] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00054] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00055] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A smart home technology system for efficient energy management, comprising:
a centralized control unit capable of communicating with various connected devices in the home;
a plurality of energy monitoring sensors positioned throughout the home for real-time tracking of energy consumption;
a user interface for receiving user input and displaying energy consumption data; and
a decision-making algorithm that autonomously adjusts device operation to optimize energy usage based on historical data, real-time monitoring, and user preferences.
2. The smart home technology system of claim 1, wherein the energy monitoring sensors are integrated into electrical outlets, light fixtures, and major appliances for granular tracking of energy consumption.
3. The smart home technology system of claim 1, wherein the centralized control unit is connected to a cloud-based server for storage and analysis of long-term energy consumption patterns.
4. The smart home technology system of claim 1, further comprising an artificial intelligence module that learns from user habits and preferences over time to refine energy-saving decisions.
5. The smart home technology system of claim 1, wherein the user interface includes a mobile application, allowing remote access and control of the home's energy consumption.
6. The smart home technology system of claim 1, further comprising a weather prediction module that anticipates energy needs based on forecasted external conditions.
7. The smart home technology system of claim 1, wherein the decision-making algorithm takes into account time-of-use electricity pricing to reduce costs by shifting high-energy tasks to off-peak hours.
8. The smart home technology system of claim 1, further comprising integration with renewable energy sources, such as solar panels or wind turbines, and includes mechanisms for storing excess energy.
9. The smart home technology system of claim 1, wherein the system provides real-time feedback and recommendations to the user on potential energy-saving practices and device adjustments.
10. A method for managing energy in a smart home, comprising the steps of:
continuously monitoring energy consumption through various sensors in the home; analyzing the collected data in real-time against historical consumption patterns and user preferences;
making informed decisions on the operation of connected devices to optimize energy consumption;
providing feedback to the user on energy usage trends and potential improvements; and dynamically adjusting energy consumption based on external factors such as weather predictions and electricity pricing

SMART HOME TECHNOLOGIES FOR EFFICIENT ENERGY MANAGEMENT
Abstract
The invention provides a smart home technology system designed for efficient energy management. The system integrates a centralized control unit, multiple energy monitoring sensors, a user-friendly interface, and an advanced decision-making algorithm. This holistic approach ensures real-time tracking of energy consumption, enabling the system to autonomously adjust device operations for optimal energy use. The system factors in historical data, real-time monitoring, user preferences, and external variables like weather forecasts and energy pricing. With features like cloud-based data analysis, AI-driven learning from user habits, mobile application controls, and renewable energy integration, the system offers a comprehensive solution to modern energy management challenges in residential settings. , Claims:Claims
I/We Claim:
1. A smart home technology system for efficient energy management, comprising:
a centralized control unit capable of communicating with various connected devices in the home;
a plurality of energy monitoring sensors positioned throughout the home for real-time tracking of energy consumption;
a user interface for receiving user input and displaying energy consumption data; and
a decision-making algorithm that autonomously adjusts device operation to optimize energy usage based on historical data, real-time monitoring, and user preferences.
2. The smart home technology system of claim 1, wherein the energy monitoring sensors are integrated into electrical outlets, light fixtures, and major appliances for granular tracking of energy consumption.
3. The smart home technology system of claim 1, wherein the centralized control unit is connected to a cloud-based server for storage and analysis of long-term energy consumption patterns.
4. The smart home technology system of claim 1, further comprising an artificial intelligence module that learns from user habits and preferences over time to refine energy-saving decisions.
5. The smart home technology system of claim 1, wherein the user interface includes a mobile application, allowing remote access and control of the home's energy consumption.
6. The smart home technology system of claim 1, further comprising a weather prediction module that anticipates energy needs based on forecasted external conditions.
7. The smart home technology system of claim 1, wherein the decision-making algorithm takes into account time-of-use electricity pricing to reduce costs by shifting high-energy tasks to off-peak hours.
8. The smart home technology system of claim 1, further comprising integration with renewable energy sources, such as solar panels or wind turbines, and includes mechanisms for storing excess energy.
9. The smart home technology system of claim 1, wherein the system provides real-time feedback and recommendations to the user on potential energy-saving practices and device adjustments.
10. A method for managing energy in a smart home, comprising the steps of:
continuously monitoring energy consumption through various sensors in the home; analyzing the collected data in real-time against historical consumption patterns and user preferences;
making informed decisions on the operation of connected devices to optimize energy consumption;
providing feedback to the user on energy usage trends and potential improvements; and dynamically adjusting energy consumption based on external factors such as weather predictions and electricity pricing