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

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1336 - 1336

Published: March 27, 2025

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.

Language: Английский

A novel perspective for equivalent aggregation of wind farm: Measuring the dynamic similarity between output time-series

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 125958 - 125958

Published: April 24, 2025

Language: Английский