Enhanced Gaussian process mixture model for short-term electric load forecasting.
Ling-Ling LiJin SunChing-Hsin WangYa-Tong ZhouKuo-Ping LinPublished in: Inf. Sci. (2019)
Keyphrases
- short term
- electric load forecasting
- mixture model
- gaussian process
- model selection
- long term
- hyperparameters
- bayesian nonparametric
- gaussian processes
- em algorithm
- forecasting model
- variational inference
- generative model
- regression model
- bayesian framework
- gaussian mixture model
- probabilistic model
- density estimation
- latent variables
- maximum likelihood
- semi supervised
- expectation maximization
- cross validation
- approximate inference
- sample size
- unsupervised learning
- parameter estimation
- variable selection
- language model
- machine learning
- posterior distribution
- pattern recognition
- neural network
- pairwise