Power System Data Quality Evaluation Based on the Analytic Hierarchy Process

Autor: Ming Qin, Xuan Qin, Zi Jian Wang, Hui Ming Xu, Jun Wang, Xi Liang Wang, Dao Xin Liu
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :2611-2614
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.712-715.2611
Popis: The demand for electric power data is more and more widely, and put forward higher requirements to the quality of statistical data. This paper combined with the features of electric power data. Evaluate data quality from the accuracy, completeness, uniqueness, consistency, accuracy, efficiency and timeliness seven aspects. And put forward the specific evaluation methods of each evaluation index. Then build a whole data quality evaluation process on this basis, quantitative analysis the data in the database, to acquaintance the data quality condition.
Databáze: OpenAIRE