Abstract
With the advent of the knowledge economy era, the application of energy big data has gradually emerged, and smart energy has begun to receive widespread attention. Decision analysis in the energy sector is fundamentally different in frequency, breadth, and complexity compared to the past. Traditional decision analysis techniques cannot meet the increasingly fierce market competition and corporate needs. Applying artificial intelligence technology into the energy field, realizing intelligent analysis and in-depth mining of energy big data, and providing better scientific decision-making have become a problem worthy of in-depth study in the new era. Through the analysis of the development of energy big data, this paper proposes the overall framework of an artificial intelligence-based energy big data analysis platform. We conducted analysis and evaluation from four aspects: data standardization, clustering analysis, classification analysis, and regression analysis. Through the discussion of data types and structures, we put forward a data simulation and evaluation plan, thus providing the energy resources provided in this article. The data decision analysis platform has more advantages in intelligent analysis capabilities.
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