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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Vydané v:	Energy (Oxford) Ročník 283; s. 128669
Hlavní autori:	Cao, Yisheng, Liu, Gang, Luo, Donghua, Bavirisetti, Durga Prasad, Xiao, Gang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2023
Predmet:	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
On-line prístup:	Získať plný text
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