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Author

Hui Huang

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Open access Sep 2026

State-Triggered Adaptive Microgrid Dispatch for EV Charging: A Hybrid Deep Learning and Multi-Objective Optimization Framework

This study proposes a hybrid framework that combines a VMD-CNN-ABiLSTM-IGCRA forecasting model with a state-triggered adaptive scheduling strategy that supports the operational value of linking load forecasting with transparent state-dependent mode selection.

Guan-Jian Zhu, Xin Ma, Yan-Jing Guo et al. · 0 citations
Open access 2026

A Hybrid Deep Learning Framework with Adaptive Signal Decomposition for Enhanced Ultra-Short-Term Wind Power Forecasting in Power System Operations

A novel hybrid intelligent framework—integrating Improved Lotus Effect Algorithm, Variational Mode Decomposition, and ensemble deep learning—specifically designed for ultra-short-term wind power prediction in energy dispatch applications is engineers, which employs elite chaotic opposition-based learning to autonomousl...

Lei Shen, Qifeng Xiang, Q. Gao et al. · 0 citations

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