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Open access Sep 2026

Short-Term Electric Power Load Forecasting Based on ISAO-VMD-BiTCN

Aiming to improve short-term power load forecasting under nonlinear and nonstationary load characteristics, this paper develops an Improved Snow Ablation Optimizer (ISAO) and applies it to the hyperparameter optimization of a Variational Mode Decomposition (VMD)- Bidirectional Temporal Convolutional Network (BiTCN) for...

Hang Liu, Fang-Lin Wang, Xin-Yi Li · 0 citations
Open access Aug 2026

Research on Short-Term Photovoltaic Power Forecasting Based on ICEEMDAN–BiLSTM–Attention–IMSO

Short-term photovoltaic (PV) power forecasting faces challenges from strong randomness and non-stationarity. This paper proposes a combined ICEEMDAN–BiLSTM–Attention–IMSO forecasting framework. First, ICEEMDAN decomposes the historical PV sequence into components, which are reorganized into three entropy groups based o...

Xin-Yi Li, Fang-Lin Wang, Hang Liu · 0 citations

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