Author(s)

Shuo Yin, Meng Yang, Hongkun Bai, Dawei Song, Hujun Li, Qinchen Yang

Corresponding Author

Shuo Yin

ABSTRACT

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.

KEYWORDS

Energy Economy, Econometric Analysis, Electricity Consumption