Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction.
Linas PetkeviciusSimonas SaltenisAlminas CivilisKristian TorpPublished in: SSTD (2021)
Keyphrases
- deep learning
- electric vehicles
- unsupervised learning
- renewable energy
- machine learning
- unsupervised feature learning
- restricted boltzmann machine
- mental models
- probabilistic model
- generative model
- bayesian networks
- decision making
- energy consumption
- weakly supervised
- intelligent control
- neural network
- pairwise
- computer vision
- learning algorithm