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 |
