Electric energy substitution has gradually become a new national development strategy and is an important measure to control air pollution

improve environmental quality and adjust the energy structure. Promoting electric energy substitution needs to combine the characteristics of various fields

analyze the policy status in depth

base on reality and adapt measures to local conditions. Based on data prediction methods such as dynamic programming method

moving average method

and exponential smoothing method

the key technologies of Fujian province electric energy substitution policy simulation are studied. 4 types of electricity replacement policies in Fujian province are sorted out and analyzed

including electricity price category

preferential subsidy category

environmental protection category

development planning category

and establishes the corresponding analysis models. The current status of power replacement policies in the 7 major areas including clean heating

industry

and agriculture are analyzed

and the promotion measures and recommendations are given

providing support for future power replacement projects.