Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
Loris Di NataleYing Zhao LianEmilio Tanowe MaddalenaJicheng ShiColin N. JonesPublished in: CDC (2022)
Keyphrases
- lessons learned
- gaussian process
- data driven
- reinforcement learning
- gaussian processes
- optimal control
- gaussian process regression
- case study
- latent variables
- bayesian framework
- model selection
- hyperparameters
- regression model
- semi supervised
- approximate inference
- expectation propagation
- covariance function
- gaussian process classification
- dynamic programming
- gaussian process models
- control system
- learning algorithm
- transfer learning
- probability distribution
- active learning
- bayesian networks
- data sets