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Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong

Sheng Liu, Aaron Zeng, Kevin Ka‐Lun Lau, Chao Ren, Pak Wai Chan, Edward Ng

2021Sustainable Cities and Society69 citationsDOI

Topics & Concepts

Socioeconomic statusElectricityTerm (time)Support vector machineEconometricsComputer scienceLinear regressionGeneralizationEnvironmental scienceMeteorologyGeographyMachine learningMathematicsEngineeringDemographyPhysicsQuantum mechanicsSociologyElectrical engineeringPopulationMathematical analysisEnergy Load and Power ForecastingBuilding Energy and Comfort OptimizationEnergy, Environment, and Transportation Policies
Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong | Litcius