Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model

As more and more photovoltaic (PV) systems are integrated into the grid, the intelligent operation of the grid system is facing significant challenges. Therefore, accurately forecasting PV power output at various time scales is particularly urgent. To meet this demand, this paper proposes an LSTM-In...

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Veröffentlicht in:	Energy (Oxford) Jg. 283; S. 128669
Hauptverfasser:	Cao, Yisheng, Liu, Gang, Luo, Donghua, Bavirisetti, Durga Prasad, Xiao, Gang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.11.2023
Schlagworte:	algorithms Australia data collection energy Improved Stacking ensemble algorithm Informer Long short-term memory Multi-timescale photovoltaic power forecasting neural networks solar collectors solar energy time series analysis Australia Long short-term memory Multi-timescale photovoltaic power forecasting Informer Improved Stacking ensemble algorithm
ISSN:	0360-5442
Online-Zugang:	Volltext
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