Description:A SMART HOME ENERGY MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS
A method for the development is based on location-based services and energy management data, the network device is set up so that it may be remotely modified by each demand response application interface module and the mobile application independently. Energy management benefits greatly from a system that includes: a first network device placed at a first site that can be altered; a second network device placed at a second site that can be altered; and computer-based monitoring and computer-based recognition of negative energy events like the approach of a new energy peak. A system of buildings can have its energy consumers immediately and automatically questioned about potential energy-saving measures. The associated control and management system for the mini power network consists of three layers: the top organization layer, which initiates the system and sends connection commands to the next layer for channel construction; the middle coordinate layer, which acts as a connected loop structure and receives commands from the last layer and begins building communication channels; and the bottom execution layer, which manages distributed energy combination when the middle layer determines that the energy is suitable for combining. In response to the activation indication, the wireless gadget goes into activation mode. Based on the inactivity indicator, at least one secondary cell enters an inactive state.
FIG.1
, Claims:1. A method for a smart home energy management system using artificial intelligence and the internet of things, wherein the method comprises;
an occupancy detector set up to identify a person at the thermostat apparatus's location;
a processor that is functionally connected to the database and programmed to retrieve site report data in order to: identify the thermostat's current temperature setting at a first site; determine the thermostat's initial profile;
managing energy usage historical data from a range of energy-consuming building system components, which includes information on one or more energy usage peaks the system has previously attained;
a type of control of the micro power network and management system, the tree structure that it is characterized in that serving as reasons control of the described micro power network and management system's highest organized layer, middle cooperation layer, and crude execution level form, the middle cooperation layer being internal for communication with the circulus; and
preventing the transmission of a signal in the uplink through the middle of at least one secondary cell; blocking the reception of a data packet from the downlink through the center of the secondary cell.