Forecasting electrical energy in photovoltaic systems Cover Image

Prognozowanie produkcji energii elektrycznej w systemach fotowoltaicznych
Forecasting electrical energy in photovoltaic systems

Author(s): Grzegorz Drałus, Zbigniew Gomółka
Subject(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..

  • Issue Year: 9/2017
  • Issue No: 1
  • Page Range: 285-296
  • Page Count: 12
  • Language: Polish