Short-term power load forecasting based on SCA-CHHO-ELM
Accurate power load forecasting is the basis to ensure the stable operation of the power grid,and is also an important basis for power planning.In order to improve the accuracy of power load forecasting,a new forecasting model is proposed in this paper.First,the Harris Hawk algorithm is optimized by using chaos strategy and sine and cosine perturbation strategy,and then the weight and threshold of the limit learning machine are optimized by using the improved Harris Hawk algorithm.Finally,the model is used for short-term power load forecasting.Compared with other prediction models,the prediction effect of this model is greatly improved,and it has better generalization ability and stability.
NETL
NSTL
万方数据
维普
