Load forecasting is one of the important content of power system. Gray GM (1,1) model with seasonal time series was proposed by analyzing the development of the electricity load forecasting. This paper made an empirical analysis of the model with data specifically related to electricity in Guizhou region in recent years. The results showed that the proposed method has a higher accuracy than a single prediction model, and proved correctness and effectiveness of the combination forecasting model.

Abstract-The investment for distribution network construction is an important part of power grid construction. The establishment of analysis model for the investment and operational efficiency of distribution network construction is able to ensure the economic operation and reliability of power system, and has become a key method to the realization of the intensified grid construction. This paper has established the data envelopment analysis model and indicators about demand side response are added. The model is more scientific and accurate. Meanwhile, the practicality of this model has been proved through the example analysis. Keywords-distribution network; investment and operational efficiency; data envelopment analysis model

The economic analysis model is structured by calculating the price to get break-even points of all programs; Second, considering energy consumption and emissions of each kind of technology, the emission reduction calculation model and energy efficiency analysis model are established; Finally, the empirical analysis is carried out. Results show that the proposed models could effectively calculate the economic and environmental profits as well as energy efficiency of each Alternative Energy programs, which could offer decision-making assistance for the government to proceed with the Alternative Energy programs and promote the development of low carbon.