Wind Power Prediction Model Based on DBO-LSTM-Attention Modeling
A wind power prediction model based on the dung beetle optimization algorithm(Dung Beetle Optimization Algorithm)optimized long and short-term memory network(LSTMN)combined with the attention mechanism is proposed to address the problem of low accuracy of traditional wind power prediction.The model makes use of modeling wind power related feature sequences,selects the hyperparameters optimized by the algorithm,and introduces the attention mechanism to improve the model's attention to important time series features.The experimental results show that the proposed model has better prediction performance than the traditional wind power prediction model.
wind power predictionlong and short-term memory networkdung beetle optimization algorithmattention mechanism
NETL
NSTL
万方数据
