SHORT-TERM LOAD FORECASTING.

George Gross, Francisco D. Galiana

Research output: Contribution to journalArticlepeer-review

Abstract

The authors discuss the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over intervals ranging from one hour to one week. The role of STLF in the online scheduling and security functions of an energy management system (EMS) is reviewed. The nature of the load and the different factors influencing its behavior are considered. A classification of the types of load modeling and forecasting techniques is presented, accompanied by recommendations and by references to the literature which support or expand the discussion. Practical aspects for the development and usage of STLF models and packages are outlined.

Original languageEnglish (US)
Pages (from-to)1558-1573
Number of pages16
JournalProceedings of the IEEE
Volume75
Issue number12
DOIs
StatePublished - Dec 1 1987
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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