A Comprehensive Value Assessment Method for Energy Big Data Based on Data Value Chain

Through the deep integration and intelligent analysis of energy big data, comprehensive perception, accurate prediction and optimization control of the energy system can be realized, but the problem of data value assessment has become one of the obstacles restricting the development of energy big data. This paper proposes a comprehensive value assessment method for energy big data based on the data value chain. It aims to construct a multi-dimensional assessment index system by comprehensively considering the value creation process of energy big data in data collection, processing, analysis and application. The core idea is to use the data value chain as a framework to decompose the value assessment of energy big data into multiple stages, and to design corresponding indicators for each stage, covering economic value, social value and environmental value, in order to comprehensively assess the integrated value of energy big data. The core idea is to use the data value chain as a framework to decompose the value assessment of energy big data into multiple stages and design corresponding indicators for each stage. It covers the aspects of economic value, social value and environmental value in order to comprehensively assess the comprehensive value of energy big data. And a case study is taken to prove the effectiveness of the proposed model, which provides a scientific basis for the effective use and value realization of energy big data.