Load Forecasting of Power System Based on Integrated Sample System and Cloud Computing
Huizhong Wang, Ke Liu, Zhu Hongyi · 2015
According to the characteristics of the short-term load forecasting, this paper established a integrated sample system.Through the analysis of various factors and load data to evaluate the effects of various factors on load forecasting, choosing the most appropriate forecast samples.PSO-LSSVM-Cloud model is established using Cloud computing technology to improve the efficiency of prediction.Finally, the actual data to establish PSO-LSSVM-Cloud model simulation comparison.Experimental results show that this load forecasting method has high forecasting precision and efficiency.