Daily natural gas load prediction method based on APSO optimization and Attention-BiLSTM
Xinjing Qi,
Huan Wang,
Yubo Ji
et al.
Abstract:As the economy continues to develop and technology advances, there is an increasing societal need for an environmentally friendly ecosystem. Consequently, natural gas, known for its minimal greenhouse gas emissions, has been widely adopted as a clean energy alternative. The accurate prediction of short-term natural gas demand poses a significant challenge within this context, as precise forecasts have important implications for gas dispatch and pipeline safety. The incorporation of intelligent algorithms into … Show more
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