Very short term load forecasting for Macau power system

doi:10.1007/978-3-642-31588-6_69

Status	已發表Published
	Very short term load forecasting for Macau power system
	Fok C.Y.; Vai M.I.
	2012-08-28
Source Publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7389 LNCS
Pages	538-546
Abstract	This paper presents the implementation of very short time load forecasting (VSLF) for Macau power system with the forecasting period ranging from several minutes to 8 hours. The methodology adopted is the hybrid model with ANN-based and similar days methods included weather information variables, which are seldom considered as input variables of VSLF in other literatures. It is shown that weather information is one of influence factors of the VSLF for a small city like Macau and the MAPE of VSLF for 15-minutes to 3-hours ahead load is 0.96% and 0.85% for Jan 2011 and Jul 2011 respectively. In this work, the author also utilizes the result of VSLF to adjust a day ahead short term load forecasting (STLF) result, by this approach, it is demonstrated that MAPE of STLF can be reduced by 20% for the data of Jul 2011. © 2012 Springer-Verlag.
Keyword	hybrid model very short term load forecasting
DOI	10.1007/978-3-642-31588-6_69
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	University of Macau
Affiliation	Universidade de Macau
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Fok C.Y.,Vai M.I.. Very short term load forecasting for Macau power system[C], 2012, 538-546.
APA	Fok C.Y.., & Vai M.I. (2012). Very short term load forecasting for Macau power system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7389 LNCS, 538-546.

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