The analysis of industry electricity market prosperity is very meaningful to power planning

production

decision-making and demand side management. Based on the big data resources of industry electricity consumption provided by the data collection system of Zhejiang province

the industry electricity market prosperity index model is constructed and the prosperity degree of the industry electricity market is analyzed. Firstly

X - 12-ARIMA（X -12 Auto Regressive Integrated Moving Average）seasonal adjustment model is used to pre-process the data to eliminate seasonal factors. Then

three points forecast - based probing are used to divide the indexes into leading

consistent and lagging indexes respectively. By compiling electricity composite index and diffusion index

the prosperity degree of the industry electricity market is analyzed

and the warning index of industry electricity market is provided correspondingly. Experimental results show that the proposed method is consistent with the actual situations

thus indicating its effectiveness in the prosperity analysis of industry electricity market.