An LSTM Short-Term Solar Irradiance Forecasting Under Complicated Weather Conditions

Complicated weather conditions lead to intermittent, random and volatility in photovoltaic (PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is considered to be an effective tool for time-series data prediction. However, when the weather changes intensely, the long...

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Hlavní autoři:	Yunjun Yu, Junfei Cao, Jianyong Zhu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2019-01-01
Edice:	IEEE Access
Témata:	LSTM forecasting short-term solar irradiance complicated weather comparative research
On-line přístup:	https://ieeexplore.ieee.org/document/8864021/
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