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Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture

Julián D. Osorio, Zhicheng Wang, George Em Karniadakis, Shengze Cai, Chrys Chryssostomidis, Mayank Panwar, Rob Hovsapian

2021Energy Conversion and Management55 citationsDOI

Topics & Concepts

Solar irradianceRenewable energySolar powerTransient (computer programming)Solar energyEngineeringComputer scienceSimulationControl theory (sociology)Power (physics)Automotive engineeringMeteorologyArtificial intelligenceElectrical engineeringPhysicsQuantum mechanicsOperating systemControl (management)Solar Thermal and Photovoltaic SystemsSolar Radiation and PhotovoltaicsEnergy Load and Power Forecasting
Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture | Litcius