{"product_id":"9781032299815-machine-learning-and-the-internet-of-th","title":"Machine Learning and the Internet of Things in Solar Power Generation","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003eThe text investigation 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 etc.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\n\u003cp\u003eThis book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eDiscusses data acquisition by the internet of things for real-time monitoring of solar cells.\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eCovers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills.\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eDetails solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data.\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eHighlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eElaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe 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\u0026amp;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.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":54866717540726,"sku":"9781032299815","price":56.65,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/stand_31784817.jpg?v=1734596234","url":"https:\/\/www.rarewaves.com\/products\/9781032299815-machine-learning-and-the-internet-of-th","provider":"Rarewaves.com","version":"1.0","type":"link"}