AI-Driven Control and Processing System for Smart Homes with Solar Energy

Muhammad Hamza ()
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Muhammad Hamza: Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan

International Journal of Innovations in Science & Technology, 2024, vol. 6, issue 4, 2104-2116

Abstract: In recent years, the utilization of solar energy has grabbed attention in the industrial and domestic zones. The existing systems to use the services of solar cells are conventional. These systems require parameters (irradiance and temperature) for desirable results that are unknown to the end user. These parameters change with regions and human to human. Therefore, an Artificially Intelligent, Control and Processing System is designed to get more accurate results with the unique feature of empowering the end user, which uses the parameters assembled on different regions. The proposed system has an improved PV model based on (ANN) that resembles experimental results with a few readily available, reprogrammable input parameters from the PV module datasheet. The developed system uses regional irradiation data which exhibits minimal fluctuations. In the model presented here;to avoid overburdening problems, loads weredivided into manageable chunks MK. In this case load chunks (needed) weremoved from solar to utility more stably and economically. Briefly statedthe suggested solution provides a complete package for integrating solar energy systems with the grid in an automated and resilient way.

Keywords: Consumer-Based Load Profiles; Load Curves; Solar Capacity; AI Energy Systems (search for similar items in EconPapers)
Date: 2024
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