Distributed training and inference of deep learning solar energy forecasting models.
Javier CampoyIgnacio-Iker Prado-RujasJosé Luis Risco-MartínKatzalin OlcozMaria S. PerezPublished in: PDP (2023)
Keyphrases
- deep learning
- solar energy
- deep architectures
- restricted boltzmann machine
- unsupervised learning
- unsupervised feature learning
- deep belief networks
- weakly supervised
- machine learning
- mental models
- renewable energy
- data mining
- training examples
- higher order
- co occurrence
- power supply
- text mining
- supervised learning
- bayesian networks
- decision making