PV and Load Forecasting for Photovoltaic Communities Based on a Hybrid Model of LSTM and Transformer

This paper investigates the PV and load forecasting problem for PV communities. A construction of a PV and load forecasting model based on a hybrid model of LSTM and Transformer is proposed. The multi-attention mechanism of Transformer is added to the traditional neural network LSTM model. This hybr...

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Vydané v:	IEEE International Conference on Industrial Technology (Online) s. 1 - 6
Hlavní autori:	Cen, Jinglong, Zhang, Xing, Wang, Qingyi, Xiao, Zhongyuan, Xu, Chang, Li, Xiang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.03.2025
Predmet:	Attention mechanisms Correlation Data models Load forecasting Load modeling Long short term memory multiple attention mechanisms Neural networks prediction Predictive models time Series Time series analysis Transformers
ISSN:	2643-2978
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