A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models.
Hossein AbbasimehrReza PakiAram BahriniPublished in: Sustain. Comput. Informatics Syst. (2023)
Keyphrases
- learning models
- energy consumption
- wireless sensor networks
- energy saving
- sensor networks
- energy efficiency
- energy conservation
- loss function
- machine learning
- learning algorithm
- energy efficient
- data transmission
- learning tasks
- machine learning algorithms
- semi supervised learning
- base station
- conditional random fields
- sensor nodes
- classification models
- save energy
- data center
- learning problems
- routing protocol
- multi hop
- residual energy
- routing algorithm
- semi supervised
- hidden markov models
- active learning
- electricity consumption
- genetic algorithm