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Deep generative models in energy system applications: Review, challenges, and future directions

Xiangyu Zhang, Andrew Glaws, Alexandre Cortiella, Patrick Emami, Ryan N. King

2024Applied Energy25 citationsDOI

Topics & Concepts

Generative grammarEnergy systemComputer scienceEnergy (signal processing)Artificial intelligenceData scienceSystems engineeringEngineeringRenewable energyPhysicsElectrical engineeringQuantum mechanicsEnergy Load and Power ForecastingIntegrated Energy Systems OptimizationComputational Physics and Python Applications
Deep generative models in energy system applications: Review, challenges, and future directions | Litcius