Combined with historical electricity data of a city in Guangdong Province, and according to industrial subdivision, the overall framework of power market electricity demand analysis and forecasting model based on industrial electricity consumption feature was designed, including technical framework design of cloud computing based on big data platform, which can solve problems of data island. Based on the framework and case analysis, several commonly used electricity analysis and forecasting approaches were discussed, including the industrial driving factor method, electricity elasticity coefficient method and power similarity month method, the corresponding forecasting processes and results were given. Then, combined with electricity analysis, the industrial credit rating and climate index models were studied. Finally, based on study of the designed model, the supply-demand interaction relations of grid, user and power seller under market competitive mechanisms were discussed. The designed model can provide mathematical basis and model for marketing service strategies making, tariff recovery, industry credit rating and early-warning, accordingly the ability of market analysis and decision-making is improved.
