Forecasting the load of electrical power systems in mid- and long-term horizons: a review

被引:98
|
作者
Khuntia, Swasti R. [1 ]
Rueda, Jose L. [1 ]
van der Meijden, Mart A. M. M. [1 ,2 ]
机构
[1] Delft Univ Technol, Dept Elect Sustainable Energy, Delft, Netherlands
[2] TenneT TSO BV, Arnhem, Netherlands
关键词
load forecasting; electrical power systems; long-term horizons; mid-term horizons; electric utilities; transmission companies; distribution companies; technological advancement; economic condition; load impacting factors; time horizons; stochastic characteristics; uncertainty characteristics; load demand; load forecasting techniques; ARTIFICIAL NEURAL-NETWORK; SUPPORT VECTOR REGRESSION; EXPERT-SYSTEM; ENERGY-CONSUMPTION; DEMAND; MODEL; WEATHER; PREDICTION; OPTIMIZATION; ALGORITHM;
D O I
10.1049/iet-gtd.2016.0340
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Load forecasting has always been an important part in the planning and operation of electric utilities, i.e. both transmission and distribution companies. With technological advancement, change in economic condition and many other factors (to be discussed in this work), load forecasting is becoming more important. The forecast affects as well as gets affected because of the load impacting factors and actions taken in different time horizons. However, due to its stochastic and uncertainty characteristics, it has been one challenging problem for electrical utilities to accurately forecast future load demand. This study aims at reviewing the different load forecasting techniques developed for the mid- and long-term horizons of electrical power systems. Since there has never been an explicit literature study of the various forecasting techniques for mid- and long-term horizons, this study reviews techniques for each of the forecasting horizons, citing various methodologies developed so far supported by published literature. This study is concluded with discussion on future research directions.
引用
收藏
页码:3971 / 3977
页数:7
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