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· Electronics· 0 citations
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· Energies· 0 citations
Hydropower units operating in isolated grids are characterized by low rotational inertia and weak damping, making it difficult to balance rapid frequency regulation and overshoot suppression. To address this issue, this paper proposes a GA–SQP hybrid optimization control strategy for multiple operating conditions based...
Fang-Lin Wang, Feng Gu, Ke Kang et al.· Water· 0 citations
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