Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models
Sungwoo Park, Jaeuk Moon, Eenjun Hwang
Topics & Concepts
AutoencoderComputer scienceScheme (mathematics)Mean squared errorArtificial neural networkRegressionRegression analysisArtificial intelligenceData miningDeep learningMachine learningPattern recognition (psychology)AlgorithmMathematicsStatisticsMathematical analysisEnergy Load and Power ForecastingSolar Radiation and PhotovoltaicsPhotovoltaic System Optimization Techniques