The book investigates various MPPT algorithms, and the optimization
of solar energy using machine learning and deep learning. It will
serve as an ideal reference text for senior undergraduate, graduate
students, and academic researchers in diverse engineering domains
including electrical, electronics and communication, computer, and
environmental. This book: Discusses data acquisition by the
internet of things for real-time monitoring of solar cells. Covers
artificial neural network techniques, solar collector optimization,
and artificial neural network applications in solar heaters, and
solar stills. Details solar analytics, smart centralized control
centers, integration of microgrids, and data mining on solar data.
Highlights the concept of asset performance improvement, effective
forecasting for energy production, and Low-power wide-area network
applications. Elaborates solar cell design principles, the
equivalent circuits of single and two diode models, measuring
idealist factors, and importance of series and shunt resistances.
The text elaborates solar cell design principles, the equivalent
circuit of single diode model, the equivalent circuit of two diode
model, measuring idealist factor, and importance of series and
shunt resistances. It further discusses perturb and observe
technique, modified P&O method, incremental conductance method,
sliding control method, genetic algorithms, and neuro-fuzzy
methodologies. It will serve as an ideal reference text for senior
undergraduate, graduate students, and academic researchers in
diverse engineering domains including electrical, electronics and
communication, computer, and environmental.
General
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