A Data Valuation Framework for the Electricity Market Data
In the context of the digital transformation of the electricity market, the electricity transaction data held by exchange centers have significant application potential. This paper proposes a comprehensive data valuation framework to assist power trading centers in extracting the value of electricity trading data. The framework integrates the cost and revenue approaches, evaluating electricity market data from the perspectives of data cost and relative value. Furthermore, accounting for the characteristics of electricity market data, our approach includes data quality, data significance, data application, and data risk within the relative value dimension. Using real electricity market data from the power exchange center, we validate that the proposed indicator system can comprehensively and dynamically reflect the value of electricity trading data.
Authors
- Feng Gao (ORCID: https://orcid.org/0000-0002-4969-5195)
- Yuke Zhou (ORCID: https://orcid.org/0000-0002-2559-0241)
- Wen Fang Xie (ORCID: https://orcid.org/0000-0002-0265-9058)
- Shijie Ji (ORCID: https://orcid.org/0009-0006-0405-7065)
- Weiming Hu (ORCID: https://orcid.org/0000-0001-9237-8825)
Institutions
- Peking University (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icpre62586.2024.10768468
- Primary Topic
- Electric Power System Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Beijing Electronic Science and Technology Institute