A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting
A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting
Shaomei Yang,Ai-min Yuan,Zhengqin Yu
2022 · DOI: 10.1007/s11356-022-22959-0
Environmental science and pollution research international · 27 Citations
TLDR
A new ultra- short-term wind power forecasting model based on complete ensemble empirical mode decomposition with adaptive noise and long-short-term memory network optimized by improved whale optimization algorithm (IWOA) is proposed and the results of comparison experiments prove the effectiveness of the proposed model.