1. An IoT-based real-time energy monitoring and control system comprising: at least one ACS712 current sensor (101) configured to measure electrical load consumption; an ESP8266 Wi-Fi module (102) configured to process sensor signals and transmit data to a cloud platform (103); a cloud-based database and dashboard (104) configured to visualize live and historical energy usage; and a remote control interface (105) configured to enable switching of connected appliances (106) based on real-time consumption data.

2. A method for monitoring and controlling energy consumption in real time, comprising: measuring current flow of appliances (106) using ACS712 sensors (101); transmitting sensor data via an ESP8266 Wi-Fi module (102) to a cloud platform (103); processing and storing the data in a cloud database (104); visualizing live and historical consumption data on a web or mobile dashboard (104); and remotely controlling appliances (106) through the interface (105) to reduce energy wastage.

3. The system as claimed in Claim 1, wherein the dashboard (104) is Firebase-backed and provides real-time notifications and historical usage graphs.

4. The system as claimed in Claim 1, wherein the measurement deviation of the ACS712 sensor (101) is within ±1.5%.

5. The method as claimed in Claim 2, wherein the remote control interface (105) enables switching of appliances (106) through a mobile application or web portal.

6. The system as claimed in Claim 1, wherein the dashboard (104) supports manual override of appliance control.

7. The system as claimed in Claim 1, wherein energy consumption reduction of 14–16% is achieved when users respond to real-time feedback.

8. The method as claimed in Claim 2, wherein the system is scalable to residential, commercial, and small industrial environments.

9. The system as claimed in Claim 1, wherein future enhancements include voltage sensing (107), predictive analytics (108), and smart-grid integration (109).

Description:FIELD OF THE INVENTION
This invention relates to an iot-based real-time energy monitoring and control system
BACKGROUND OF THE INVENTION
In most residential and small commercial environments, users have very limited visibility into their real-time electricity consumption. Traditional energy meters provide only cumulative monthly readings, offering no information about which appliances consume the most power, when peak usage occurs, or where unnecessary energy wastage is happening. As a result, users are unable to make informed decisions that could help reduce consumption and lower electricity bills.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
The rising demand for electricity, increasing energy costs, and the global push toward sustainability have created a strong need for efficient and accessible energy-management solutions. Traditional metering systems provide only periodic readings and lack real-time insights, leading to unnoticed wastage and higher operational costs. This work presents a low cost IoT-based real-time energy monitoring and control system that integrates ACS712 current sensors with an ESP8266 Wi-Fi module to capture, process, and transmit consumption data to a cloud platform. A Firebase-backed web dashboard visualizes live and historical energy usage while enabling remote switching of connected appliances. Experimental evaluation demonstrates an average measurement deviation of ±1.5% and a potential energy reduction of 14–16% when users respond to real-time feedback. The system offers reliability, scalability, and affordability, making it suitable for homes, commercial spaces, and small industries seeking practical solutions for energy optimization. The proposed architecture provides a strong foundation for future enhancements such as voltage sensing, predictive analytics, and smart-grid integration.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: PROTOTYPE MODEL
FIGURE 2: READINGS ON BLYNK APP
FIGURE 3: READINGS ON LCD DISPLAY
FIGURE 4: ACCURACY OF ACS712 CURRENT SENSOR UNDER VARIOUS LOADS
FIGURE 5: ENERGY CONSUMPTION BEFORE AND AFTER SYSTEM IMPLEMENTATION
FIGURE 6: BAR GRAPH ON ENERGY CONSUMPTION
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The rising demand for electricity, increasing energy costs, and the global push toward sustainability have created a strong need for efficient and accessible energy-management solutions. Traditional metering systems provide only periodic readings and lack real-time insights, leading to unnoticed wastage and higher operational costs. This work presents a low cost IoT-based real-time energy monitoring and control system that integrates ACS712 current sensors with an ESP8266 Wi-Fi module to capture, process, and transmit consumption data to a cloud platform. A Firebase-backed web dashboard visualizes live and historical energy usage while enabling remote switching of connected appliances. Experimental evaluation demonstrates an average measurement deviation of ±1.5% and a potential energy reduction of 14–16% when users respond to real-time feedback. The system offers reliability, scalability, and affordability, making it suitable for homes, commercial spaces, and small industries seeking practical solutions for energy optimization. The proposed architecture provides a strong foundation for future enhancements such as voltage sensing, predictive analytics, and smart-grid integration.
The present invention relates to an IoT-based real-time energy monitoring and control system designed to provide users with detailed visibility into their electricity consumption and enable remote control of appliances. The system comprises one or more ACS712 current sensors (101) that measure the current flow of connected appliances (106) with high accuracy. The sensor outputs are processed by an ESP8266 Wi-Fi module (102), which performs signal conditioning and transmits the data to a cloud platform (103) for storage and analysis.
The cloud platform is integrated with a Firebase-backed dashboard (104) that visualizes both live and historical energy usage. The dashboard provides real-time notifications, graphical representations of consumption trends, and manual override options for appliance control. A remote control interface (105) allows users to switch appliances (106) on or off from a web or mobile application, thereby reducing unnecessary energy wastage.
The system architecture further includes provisions for voltage sensing (107), predictive analytics (108), and smart-grid integration (109) as future enhancements. These modules extend the functionality of the system by enabling advanced forecasting of energy demand, integration with utility networks, and improved decision-making for sustainable energy management.
Experimental evaluation demonstrates that the ACS712 sensor (101) achieves a measurement deviation within ±1.5%, while the overall system enables energy savings of 14–16% when users respond to real-time feedback provided through the dashboard (104). The combination of low-cost sensing, cloud connectivity, and remote actuation makes the invention scalable to residential, commercial, and small industrial environments.
By integrating sensors (101), communication modules (102), cloud analytics (103), dashboards (104), and control interfaces (105) into a unified framework, the invention provides a reliable, affordable, and efficient solution for real-time energy monitoring and control. This technical advancement empowers users to make informed decisions, reduce electricity bills, and contribute to sustainable energy practices.
The proposed system is distinguished by its integration of low-cost ACS712 Hall-effect current sensors with an ESP8266 module to perform on-device signal processing and immediate cloud-linked control actions, enabling customizable, high-resolution, per-load monitoring and responsive actuation not offered by existing fixed-function commercial energy meters or cloud-dependent systems.
, Claims:1. An IoT-based real-time energy monitoring and control system comprising:
at least one ACS712 current sensor (101) configured to measure electrical load consumption;
an ESP8266 Wi-Fi module (102) configured to process sensor signals and transmit data to a cloud platform (103);
a cloud-based database and dashboard (104) configured to visualize live and historical energy usage; and
a remote control interface (105) configured to enable switching of connected appliances (106) based on real-time consumption data.
2. A method for monitoring and controlling energy consumption in real time, comprising:
measuring current flow of appliances (106) using ACS712 sensors (101);
transmitting sensor data via an ESP8266 Wi-Fi module (102) to a cloud platform (103);
processing and storing the data in a cloud database (104);
visualizing live and historical consumption data on a web or mobile dashboard (104); and
remotely controlling appliances (106) through the interface (105) to reduce energy wastage.
3. The system as claimed in Claim 1, wherein the dashboard (104) is Firebase-backed and provides real-time notifications and historical usage graphs.
4. The system as claimed in Claim 1, wherein the measurement deviation of the ACS712 sensor (101) is within ±1.5%.
5. The method as claimed in Claim 2, wherein the remote control interface (105) enables switching of appliances (106) through a mobile application or web portal.
6. The system as claimed in Claim 1, wherein the dashboard (104) supports manual override of appliance control.
7. The system as claimed in Claim 1, wherein energy consumption reduction of 14–16% is achieved when users respond to real-time feedback.
8. The method as claimed in Claim 2, wherein the system is scalable to residential, commercial, and small industrial environments.
9. The system as claimed in Claim 1, wherein future enhancements include voltage sensing (107), predictive analytics (108), and smart-grid integration (109).