Conference
Sep 2026
A new BP-LSTM hybrid wind power forecasting model based on improved SFLA optimization
To improve the accuracy of short-term wind power prediction, this paper proposes a short-term wind power hybrid forecasting model, ISFLA-BP-LSTM, based on an improved Shuffled Frog Leaping Algorithm (ISFLA) optimized Back Propagation network (BP) and Long Short-term Memory network (LSTM). This method introduces an adap...
Hou-Jian Zhan, Jian Tang, Jia-Qiu Hu et al.
· International Conference on... · 0 citations