Forecasting the Demand of Short-Term Electric Power Load with Large-Scale LP-SVR

• 作 者: Pablo Rivas-Perea Juan Cota-Ru
• 机 构: DepartmentofComputerScience,DepartmentofElectricalandComputerEngineering,ScienceApplica-tionsInterna
• 出 处: 智能电网与可再生能源(英文)
• 发表日期: 2013年6期
• 关键词: Power Load Prediction Linear PROGRAMMING Support VECTOR Regression NEURAL Networ

This research studies short-term electricity load prediction with a large-scalelinear programming support vector regression (LP-SVR) model. The LP-SVR is compared with other three non-linear regression models: Collobert’s SVR, Feed-Forward Neural Networks