Quantitative credibility evaluation of Global Energy Interconnection data

The development of Global Energy Interconnection (GEI) is essential for supporting a wide range of basic data resources. The Global Energy Interconnection Development and Cooperation Organization has established a comprehensive data center covering six major systems. However, methods for accurately describing and scientifically evaluating the credibility of the massive amount of GEI data remain underdeveloped. To address this lack of such methods, a GEI data credibility quantitative evaluation model is proposed here. An evaluation indicator system is established to evaluate data credibility from multiple perspectives and ensure the comprehensiveness and impartiality of evaluation results. The Cloud Model abandons the hard division of comments to ensure objectivity and accuracy in evaluation results. To evaluate the suitability of the proposed method, a case analysis is conducted, wherein the proposed method demonstrates sufficient validity and feasibility. Keywords: Global Energy Interconnection, Data credibility evaluation, Cloud Model

Abstract licence: CC BY-NC-ND

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