Risk Assessment Model and Experimental Analysis of Electric Power Production Based on Big Data

Abstract

This paper studies the characteristics of big data of power, and aims at the data quality problems faced by power system. It puts forward an assessment method of power system data quality. Based on the characteristics of large power data, a series of indicators influencing the data are analyzed and hierarchically divided to determine the measurement standard of power production data during the process of risk management, namely, the risk index system. Then, the risk assessment model of power data is established by referring to the assessment model in other fields or the rules of deduction and induction in data mining. It can be used to evaluate the quality of power system data, and find a framework and solution suitable for large data quality assessment. Finally, the model is implemented on Hadoop platform, which proves that it takes into account the completeness of the index system, the objectivity of the assessment method and the rapidity of the calculation method.