Multi-temporal Scale Wind Power Forecasting Based on Lasso-CNN-LSTM-LightGBM

Gao, Qingzhong (2024) Multi-temporal Scale Wind Power Forecasting Based on Lasso-CNN-LSTM-LightGBM. EAI Endorsed Transactions on Energy Web.

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Abstract

Due to the increasingly severe climate problems, wind energy has received widespread attention as the most abundant energy on Earth. However, due to the uncertainty of wind energy, a large amount of wind energy is wasted, so accurate wind power prediction can greatly improve the utilization of wind

Item Type: Article
Date Deposited: 04 Mar 2026 18:12
Last Modified: 16 Apr 2026 22:14
URI: http://eprints.eai.eu/id/eprint/51604

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