Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks.
Ye WangCarlos Ocampo-MartinezVicenç PuigJoseba QuevedoPublished in: CRITIS (2014)
Keyphrases
- gaussian process
- predictive control
- demand forecasting
- drinking water
- control scheme
- historical data
- model selection
- regression model
- bayesian framework
- latent variables
- neuro fuzzy
- hyperparameters
- semi supervised
- multiple models
- control strategy
- power plant
- control law
- machine learning
- cross validation
- supply chain
- training set
- feature selection
- prior knowledge
- training data