Research on the Identification Method of Limited Production Enterprises Based on Electric Power Big Data

Abstract

The rapid development of the economy has caused huge energy consumption and caused more environmental problems. Therefore, under the dual-carbon goal, energy conservation and emission reduction of industrial enterprises is an inevitable path for green, low-carbon and sustainable development. At present, various regions target related enterprises. A series of emission reduction measures have also been introduced, but the effect of emission reduction control lacks scientific measurement standards. Based on this, this study analyzes the power big data before and after the emission reduction measures taken by 1141 industrial enterprises in Lianyungang City, Jiangsu Province in 2021, calculates the production reduction ratio of the enterprises through the emission reduction plan, and uses a clustering algorithm to find the unrestricted Enterprises that limit production according to the requirements can quickly identify the actual emission reduction effect, and realize the emission monitoring and early warning of emission reduction enterprises, so as to provide decision-making reference for the regulatory authorities to optimize emission reduction measures and formulate corresponding reward and punishment measures.