Climate-Driven Load Variations and Fault Risks in Humid-Subtropical Mountainous Grids: A Hybrid Forecasting and Resilience Framework

Against the backdrop of global climate change, remote subtropical mountainous power grids face severe operational challenges due to their fragile infrastructure and complex climatic conditions. However, existing research has insufficiently addressed load forecasting in data-sparse regions, particula...

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Autors principals:	Ruiyue Xie, Jiajun Lin, Yuesheng Zheng, Chuangli Xie, Haobin Lin, Xingyuan Guo, Zhuangyi Chen, Boye Qiu, Yudong Mao, Xiwen Feng, Zhaosong Fang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Energies
Matèries:	power load forecasting hybrid model random forest long short-term memory (LSTM) meteorological parameters grid reliability
Accés en línia:	https://www.mdpi.com/1996-1073/19/3/778
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