Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models.
Sungwoo ParkJaeuk MoonEenjun HwangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- regression model
- data generation
- prediction model
- support vector regression
- model selection
- regression analysis
- gaussian process
- regression methods
- multivariate regression
- regression trees
- linear model
- data streams
- anomaly detection
- streaming data
- active learning
- explanatory variables
- high throughput
- data sets
- microarray
- unsupervised learning
- co training
- survival analysis
- neural network