Research on Missing Data Interpolation Method Based on Electricity Load

Ang LU

doi:10.16513/j.2096-2185.DE.2004018

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Distributed Energy ›› 2020, Vol. 5 ›› Issue (4) : 74-80. DOI: 10.16513/j.2096-2185.DE.2004018

Basic Research

Research on Missing Data Interpolation Method Based on Electricity Load

Ang LU

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Abstract

After the reform of power market has been carried out in China, accurate load forecasting is of great significance for power market demand analysis. And the missing data in the process of collection and statistics directly affects the accuracy of data analysis such as power load forecasting. Therefore, the missing data interpolation method based on electricity load was studied in this paper. Firstly the typical industrial and commercial users were selected to generate the power load curves. According to the characteristics of the fitting curves, the user load curves were divided into two categories. Then each user's incomplete data sets at 10% missing rate were randomly generated. And the missing data was supplemented by means of mean interpolation, regression interpolation and EM interpolation. Finally, the data sets after interpolation were compared with the original data sets, and the effect of interpolation was analyzed and compared by calculating mean square error (MSE). The simulation results verified the applicability and feasibility of the interpolation methods for different types of electrical loads.

Key words

data interpolation / load forecasting / mean interpolation / regression interpolation / expectation maximization(EM) interpolation / electricity market reform

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Ang LU. Research on Missing Data Interpolation Method Based on Electricity Load[J]. Distributed Energy Resources. 2020, 5(4): 74-80 https://doi.org/10.16513/j.2096-2185.DE.2004018

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