Short-term load forecasting based on Bayesian neural networks learned by Hybrid Monte Carlo method.
Hui-Feng ShiYanxia LuPublished in: ICMLC (2010)
Keyphrases
- short term load forecasting
- monte carlo method
- neural network
- posterior distribution
- bayesian learning
- markov chain
- monte carlo
- genetic algorithm
- load forecasting
- latent variables
- pattern recognition
- probability distribution
- parameter estimation
- prior distribution
- rbf neural network
- neural network model
- artificial neural networks
- maximum likelihood estimation
- fuzzy logic
- power system
- bayesian framework
- maximum likelihood
- markov chain monte carlo
- hyperparameters
- back propagation
- electric power
- bayesian networks
- posterior probability
- short term
- model selection
- hidden layer
- learning machines
- multiresolution
- maximum a posteriori
- long term
- fault diagnosis