Application of time series and artificial neural network models in short-term forecasting of PV power generation

This paper addresses two practical methods for electricity generation forecasting of grid-connected PV plants. The first model is based on seasonal ARIMA time-series analysis and is further improved by incorporating short-term solar radiation forecasts derived from NWP models. The second model adopt...

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Bibliographische Detailangaben

Hauptverfasser:	Kardakos, E. G., Alexiadis, M. C., Vagropoulos, S. I., Simoglou, C. K., Biskas, P. N., Bakirtzis, A. G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks autoregressive integrated moving average (ARIMA) models Data models day-ahead forecasting Forecasting photovoltaic plants Predictive models Production Solar radiation Weather forecasting
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