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Quantifying the climate and human-system-driven uncertainties in energy planning by using GANs

A.T.D. Perera, F. Khayatian, Sven Eggimann, Kristina Orehounig, Saman Halgamuge

2022Applied Energy24 citationsDOIOpen Access PDF

Topics & Concepts

Climate changeClimate modelEnergy modelingRepresentative Concentration PathwaysComputer scienceEnergy planningEnvironmental scienceEnergy demandEnergy supplyEnergy (signal processing)Environmental economicsEfficient energy useRisk analysis (engineering)EngineeringRenewable energyBusinessEconomicsEcologyBiologyElectrical engineeringStatisticsMathematicsBuilding Energy and Comfort OptimizationEnergy Load and Power ForecastingEnergy Efficiency and Management
Quantifying the climate and human-system-driven uncertainties in energy planning by using GANs | Litcius