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

Zeeshan Arfeen; Abdur Raheem; Syed Mohammad Ali Shah; Syed Ali Hasnain Naqvi; Muhammad Salman Saeed; Nusrat Husain; Muhammad Rashid

Authors

Zeeshan Arfeen The Islamia University of Bahawalpur
Abdur Raheem The Islamia University of Bahawalpur
Syed Mohammad Ali Shah Mehran University of Engineering & Technology Jamshoro, Pakistan
Syed Ali Hasnain Naqvi Sir Syed University of Engineering & Technology, Karachi
Muhammad Salman Saeed MEPCO Electric Supply Corporation
Nusrat Husain Department of Electronics & Power Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Engineer The Islamia University of Bahawalpur

Keywords:

Consumer-based load profiles, load curves, solar capacity, AI Energy Systems

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 were divided into manageable chunks MK. In this case load chunks (needed) were moved from solar to utility more stably and economically. Briefly stated the suggested solution provides a complete package for integrating solar energy systems with the grid in an automated and resilient way.

Author Biographies

Syed Mohammad Ali Shah, Mehran University of Engineering & Technology Jamshoro, Pakistan

Director

Science and Technology Park Mehran University of Engineering & Technology, Jamshoro, Sindh. Pakistan

Syed Ali Hasnain Naqvi, Sir Syed University of Engineering & Technology, Karachi

Assistant Professor

Faculty of Social Sciences, Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan.

Muhammad Salman Saeed, MEPCO Electric Supply Corporation

SDO Multan

Nusrat Husain, Department of Electronics & Power Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan

Assistant Professor

Department of Electronics & Power Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan

Engineer, The Islamia University of Bahawalpur

Ph.D Scholar

Electrical Engineering Department

Bahawalpur

Pakistan

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