Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings.
Desirée Arias-RequejoBelarmino PulidoMarcus M. KeaneCarlos J. Alonso-GonzálezPublished in: IEEE Access (2023)
Keyphrases
- energy consumption
- deep learning
- unsupervised learning
- wireless sensor networks
- energy efficient
- energy saving
- energy efficiency
- sensor networks
- energy conservation
- clustering algorithm
- data transmission
- save energy
- base station
- routing algorithm
- unsupervised feature learning
- machine learning
- energy aware
- weakly supervised
- routing protocol
- data center
- data points
- sensor nodes
- multi hop
- k means
- environmental impact
- object detection
- information extraction
- mental models
- multiscale
- data sets
- total energy
- feature extraction
- feature selection
- stability margin