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.

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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

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A Data Valuation Framework for the Electricity Market Data

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Abstract

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.

Peking University (CN)
Beijing Electronic Science and Technology Institute
Openalex Percentile: Top 77%
Electric Power System Optimization
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