Photovoltaic energy production forecast using support vector regression

Abstract

Forecasting models for photovoltaic energy production are important tools for managing energy flows. The aim of this study was to accurately predict the energy production of a PV plant in Italy, using a methodology based on support vector machines . The model uses historical data of solar irradiance, environmental temperature and past energy production to… (More)
DOI: 10.1007/s00521-015-1842-y

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