Regression Models of Critical Parameters Affecting Peak Load Demand Forecasting

被引:0
作者
Ali, Mohammad Zawad [1 ]
Shabbir, Md Nasmus Sakib Khan [1 ]
Chowdhury, Muhammad Sifatul Alam [1 ]
Ghosh, Arko [1 ]
Liang, Xiaodong [1 ]
机构
[1] Mem Univ Newfoundland, Dept Elect & Comp Engn, St John, NF, Canada
来源
2018 IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE) | 2018年
关键词
Curve fitting; generation planning; peak load demand; regression model;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, seven critical parameters have been identified contributing to generation shortages, and affecting the peak load demand forecasting for power system generation planning. Due to the difficulty to predict the occurrence of each parameter effectively, the time series regression models of these parameters and the peak load demand are developed using the curve fitting tool box in MATLAB. The accuracy of the developed models is evaluated through the residual, goodness of fit, and percentage errors calculated between actual and calculated data.
引用
收藏
页数:4
相关论文
共 4 条
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[Anonymous], 1999, Multiple regression: a primer
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Ayyub B.M., 2011, Probability, statistics, and reliability for engineers and scientists
[3]  
Haldar A, 2000, Probability, reliability and statistical methods in engineering design
[4]  
Liang X, 2018, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2017-October, DOI DOI 10.1109/PIMRC.2017.8292361