A data-driven strategy to forecast next-day electricity usage and peak electricity demand of a building portfolio using cluster analysis, Cubist regression models and Particle Swarm Optimization
Kehua Li, Zhenjun Ma, Duane Robinson, Wenye Lin, Zhixiong Li
Topics & Concepts
Mean absolute percentage errorParticle swarm optimizationMean squared errorCluster analysisElectricityRegression analysisComputer scienceStatisticsPortfolioEconometricsMathematicsEngineeringMachine learningEconomicsFinancial economicsElectrical engineeringEnergy Load and Power ForecastingBuilding Energy and Comfort OptimizationGrey System Theory Applications