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Open AccessArticle

Research on Power Demand Side Information Quality Indicators and Evaluation Based on Grounded Theory Approach

by Yiping Zhu * and Zan Zhou
Management School, Nanchang University, Nanchang 330031, China
*
Author to whom correspondence should be addressed.
Information 2020, 11(10), 477; https://doi.org/10.3390/info11100477
Received: 24 September 2020 / Revised: 5 October 2020 / Accepted: 9 October 2020 / Published: 12 October 2020
(This article belongs to the Section Information Theory and Methodology)
High-quality power demand side information is necessary for scientific decision-making of power grid construction projects. Literature research shows that the current demand side management (DSM) information quality theories and methods need to be improved, and the information quality indicators and evaluation work are essential. In this paper, based on the grounded theory, about 250 copies of relevant literatures and interview records are reviewed. Through open coding, spindle coding, and selective coding, 105 initial concepts are finally extracted to 35 categories and 10 main categories. On this basis, four information dimensions including load extraction, monitoring, management, and government planning are summarized. An index system containing 34 indicators for DSM information quality evaluation on the power demand side is constructed. Finally, using matter-element extension evaluation method, a case study in China is performed to verify the feasibility and scientificity of the indexes. The results show that DSM information quality evaluation indexes are effective, and the evaluation method is also applicable. The establishment of DSM information quality indicators and the evaluation methods in this paper can provide a reference for similar information quality evaluation work in power systems. View Full-Text
Keywords: power demand side; DSM; information quality; grounded theory; comprehensive extension evaluation power demand side; DSM; information quality; grounded theory; comprehensive extension evaluation
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Zhu, Y.; Zhou, Z. Research on Power Demand Side Information Quality Indicators and Evaluation Based on Grounded Theory Approach. Information 2020, 11, 477.

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