MATEC Web Conf.
Volume 63, 20162016 International Conference on Mechatronics, Manufacturing and Materials Engineering (MMME 2016)
|Number of page(s)||4|
|Section||Computer Engineering and Applications|
|Published online||12 July 2016|
Load forecasting method considering temperature effect for distribution network
The College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China
a Corresponding author: firstname.lastname@example.org
To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change. Based on the linear regression analysis, the mathematical model of load forecasting was presented with considering the temperature effect, and the steps of load forecasting were given. Used MATLAB, the temperature regression coefficient was calculated. Using the load forecasting model, the full-day load forecasting and time-sharing load forecasting were carried out. By comparing and analyzing the forecast error, the results showed that the error of time-sharing load forecasting method was small in this paper. The forecasting method is an effective method to improve the accuracy of load forecasting.
Key words: Load forecasting / Temperature / Multiple regression analysis / Time-sharing forecasting
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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