A New Energy High-Impact Process Weather Classification Method Based on Sensitivity Factor Analysis and Progressive Layered Extraction

• DOI: 10.3390/electronics14071336
• Publication Date: 2025-03-27T16:41:02Z
• Authors: Zhifeng Liang; Zhao Wang; Nan Wu; Yue Jiang; Dayan Sun
• Keywords: Factor (programming language)

For the electricity system with a high proportion of new energy, extreme weather events caused by climate change will make energy power supply present an extremely complicated situation, thus affecting safe and stable operation system. In order to solve above problems, this study proposes classification method process based on Progressive Layered Extraction (PLE) model considering weather-sensitive factors impact energy. This analyses sensitive output from two perspectives abnormal prediction error, defines high-impact process, divides standard set. According set, identification PLE is constructed provide more accurate early warning information. The proposed applied cluster in Jiangxi Province, China. Compared traditional task model, accuracy increased 1.30%, which verifies effectiveness method.