Data Monitoring based Power Network Investment Optimization and Empirical Research: Survey and Prospect

Abstract

The new round of power industry restructuring has brought new challenges to power grid companies, prompting them to further improve power grid investment. In order to fully employ data resources in power grid investment decisions, it is necessary to comprehensively use data mining and monitoring technologies so as to realize dynamic supervision of power grid investment decisions and improve investment efficiency. In this context, this paper summarizes the research results of each key link involved in the establishment of a power network investment optimization system based on data monitoring technology, summarizes the use and deficiencies of the existing research results, and proposes research suggestions for the next step of building the power grid investment optimization system based on data monitoring technology.