Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications

• Autore: Vitelli Massimo
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (280 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: adaptive neuro-fuzzy inference systems; ANFIS; artificial neural network; artificial neural networks; clear sky irradiance; clustering-based PV fault detection; COA; complex network analysis; data fusion; deterioration; deterministic optimization algorithm; diffractive grating; diffractive optical element; double flames generation (DFG) strategy; duty cycle; environmental parameters; fault prognosis; feed-forward neural networks; finite difference time domain; genetic algorithm; global horizontal irradiance; global optimization; gradient descent; hot spot; image processing; implicit model solution; integrated energy systems; linear approximation; long short-term memory; LSTM cell; machine learning; mathematical modeling; maximum power point tracking; metaheuristic optimization algorithm; moth-flame optimization; MPPT algorithm; multiple regression model; national power system; optical modelling; parameter extraction; partial shading; particle swarm optimization-artificial neural networks; performances evaluation; persistent predictor; photovoltaic array; photovoltaic model; photovoltaic module; photovoltaic plants; photovoltaic power prediction; photovoltaic system; photovoltaic systems; photovoltaics; publicly available weather reports; PV fleet; PV power prediction; PVs power output forecasting; recurrent neural networks; renewable energy; self-imputation; sensor network; series-parallel; single stage grid connected systems; single-diode model; smart energy management; solar cell optimization; Solar cell parameters; solar concentrator; solar irradiation; spectral beam splitting; statistical method; sustainable development; thermal image; two-diode model; unsupervised learning
• Persona (resp. second.): CostanzoLuigi; VitelliMassimo
• Sommario/riassunto: This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators.
• Titolo autorizzato: Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557297703321
• Lo trovi qui: Univ. Federico II