Publication | Closed Access
Short-term load forecasting
873
Citations
42
References
1987
Year
Stlf AreaEngineeringData ScienceEnergy ManagementSmart GridForecasting TechniquesPredictive AnalyticsDemand ForecastingEnergy ForecastingComputer EngineeringStlf ModelsSystems EngineeringForecastingShort-term Load ForecastingLoad ControlEnergy Demand ManagementEnergy PredictionQuantitative Management
This paper discusses the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over an interval ranging from one hour to one week. The paper reviews the important role of STLF in the on-line scheduling and security functions of an energy management system (EMS). It then discusses the nature of the load and the different factors influencing its behavior. A detailed classification of the types of load modeling and forecasting techniques is presented. Whenever appropriate, the classification is accompanied by recommendations and by references to the literature which support or expand the discussion. The paper also presents a lengthy discussion of practical aspects for the development and usage of STLF models and packages. The annotated bibliography offers a representative selection of the principal publications in the STLF area.
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