Computational Intelligence in Photovoltaic Systems

• Egile nagusia: Ogliari , Emanuele (auth)
• Beste egile batzuk: Leva, Sonia (auth)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Gaiak: History of engineering & technology; artificial neural network; online diagnosis; genetic algorithm; renewable energy; unit commitment; photovoltaic panel; power forecasting; metaheuristic; monitoring system; embedded systems; firefly algorithm; tracking system; MPPT algorithm; integrated storage; day-ahead forecast; solar radiation; prototype model; artificial neural networks; parameter extraction; thermal image; thermal model; solar cell; PV cell temperature; evolutionary algorithms; uncertainty; battery; harmony search meta-heuristic algorithm; single-diode photovoltaic model; symbiotic organisms search; photovoltaics; tilt angle; smart photovoltaic system blind; orientation; photovoltaic; particle swarm optimization; analytical methods; computational intelligence; statistical errors; ensemble methods; solar photovoltaic; electrical parameters; demand response; metaheuristic algorithm
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant produc...