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In order to reduce the peak load in the period of power shortage through power demand side response, it is necessary to evaluate the peak cutting potential of major industries in this region. Based on electricity information acquisition system and big data mining analysis technology, this paper proposes a peak-clipping potential assessment method and process for power demand side response based on the characteristics of different industries, and evaluates and ranks the peak-clipping potential of 17 major industries in Henan Province. The evaluation method and results provide a theoretical basis for studying and judging the peak cutting scale and target in advance.

Electricity consumption prediction is of great importance to the economic and social development and the balance of supply and demand of the power system. Influenced by the economic situation, the growth rate of the expansion of regional industry is showing the trend of volatility. It not only affects the power consumption of the region, but also affects the safety of power grid dispatching and operation. In order to better grasp the trend of regional power demand, the economic and social development of the service area and the safe and smooth operation of the power grid, in this paper, based on the mining of incremental big data of regional industry expansion, with simulation analysis econometrics ARMA, DID, etc, at the beginning of the construction of the power demand forecasting model, based on the support of large-scale expansion of industry data, according to the industry research industry, the situation of capacity expansion, load utilization and electricity demand, and the case of Henan Province, the regional electricity consumption is predicted.