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Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case

Odin Foldvik Eikeland, Finn Dag Hovem, Tom Eirik Olsen, Matteo Chiesa, Filippo Maria Bianchi

2022Duo Research Archive (University of Oslo)34 citationsDOIOpen Access PDF

Topics & Concepts

Probabilistic forecastingProbabilistic logicComputer scienceNumerical weather predictionWind powerRenewable energyWind power forecastingDeep learningEconometricsElectricity marketWind speedElectricity generationElectricityMeteorologyElectric power systemPower (physics)Artificial intelligenceEconomicsEngineeringGeographyPhysicsQuantum mechanicsElectrical engineeringEnergy Load and Power ForecastingAtmospheric and Environmental Gas DynamicsMeteorological Phenomena and Simulations
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case | Litcius