A contrastive learning-based framework for wind power forecast
Nanyang Zhu, Zemei Dai, Ying Wang, Kaifeng Zhang
Topics & Concepts
Computer scienceFeature learningWind powerFeature (linguistics)Artificial intelligenceWind power forecastingRepresentation (politics)Mean squared errorMachine learningNetwork architectureArtificial neural networkConsistency (knowledge bases)Power (physics)Electric power systemMathematicsStatisticsElectrical engineeringPolitical scienceLawLinguisticsPhysicsQuantum mechanicsComputer securityPoliticsPhilosophyEngineeringEnergy Load and Power ForecastingElectric Power System OptimizationImage and Signal Denoising Methods