Short-Term Load Forecasting for Spanish Insular Electric Systems

被引:5
作者
Caro, Eduardo [1 ]
Juan, Jesus [1 ]
机构
[1] Univ Politecn Madrid, Stat Lab, ETSII, C Jose Gutierrez Abascal 2, Madrid 28006, Spain
关键词
short-term electric load forecasting; time series; Seasonal Reg-ARIMA models;
D O I
10.3390/en13143645
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In any electric power system, the Transmission System Operator (TSO) requires the use of short-term load forecasting algorithms. These predictions are essential for appropriate planning of the energy resources and optimal coordination for the generation agents. This study focuses on the development of a prediction model to be applied to the ten main Spanish islands: seven insular systems in the Canary Islands, and three systems in the Balearic Islands. An exhaustive analysis is presented concerning both the estimation results and the forecasting accuracy, benchmarked against an alternative prediction software and a set of modified models. The developed models are currently being used by the Spanish TSO (Red Electrica de Espana, REE) to make hourly one-day-ahead forecasts of the electricity demand of insular systems.
引用
收藏
页数:26
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