Prognozowanie produkcji energii elektrycznej
w systemach fotowoltaicznych
Forecasting electrical energy in photovoltaic systems
Author(s): Grzegorz Drałus, Zbigniew GomółkaSubject(s): Energy and Environmental Studies
Published by: Wyższa Szkoła Biznesu i Przedsiębiorczości w Ostrowcu Świętokrzyskim
Keywords: short-term power forecasting;photovoltaic system;variables selection;artificial neural networks;
Summary/Abstract: The paper presents methods of forecasting electricity by means of a photovoltaic system. A short-term forecast e.g. a day-ahead forecasting as well as a forecasting method that uses neural networks of the MPL type have been pre-sented. The paper also displays a comprehensive set of explanatory variables for forecasting models. Prognostic model parameters have been determined and forecasts have been made for several time periods (e.g. full-year forecast, half-year forecasts) and final conclusions have been formulated..
Journal: Acta Scientifica Academiae Ostroviensis. Sectio A, Nauki humanistyczne, społeczne i techniczne
- Issue Year: 9/2017
- Issue No: 1
- Page Range: 285-296
- Page Count: 12
- Language: Polish