Litcius/Paper detail

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models

Hossein Abbasimehr, Reza Paki, Aram Bahrini

2023Sustainable Computing Informatics and Systems61 citationsDOI

Topics & Concepts

Computer scienceDeep learningArtificial intelligenceData pre-processingBenchmark (surveying)Machine learningPreprocessorContext (archaeology)Component (thermodynamics)Artificial neural networkFeature (linguistics)Data miningEnergy consumptionEngineeringElectrical engineeringPhysicsLinguisticsGeodesyPaleontologyThermodynamicsGeographyBiologyPhilosophyEnergy Load and Power ForecastingGrey System Theory ApplicationsBuilding Energy and Comfort Optimization
A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models | Litcius