Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes.
Sean NassimihaPeter DudfieldJack KellyMarc Peter DeisenrothSo TakaoPublished in: CoRR (2023)
Keyphrases
- gaussian processes
- state space
- gaussian process
- gaussian process regression
- short term prediction
- reinforcement learning
- wind power
- covariance function
- optimal policy
- hyperparameters
- gaussian process models
- human pose estimation
- wind speed
- dynamic programming
- noise level
- short term
- model selection
- particle filter
- latent variables
- non stationary
- em algorithm
- markov random field
- probabilistic model