Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models.
Karan Kumar KMounica NutakkiSuprabhath KoduruSrihari MandavaPublished in: J. Cloud Comput. (2024)
Keyphrases
- learning models
- energy consumption
- support vector machine
- electricity consumption
- machine learning
- support vector regression
- wireless sensor networks
- energy saving
- energy efficient
- learning algorithm
- sensor networks
- energy efficiency
- loss function
- support vector
- learning tasks
- semi supervised learning
- classification models
- svm classifier
- energy conservation
- training data
- feature selection
- routing protocol
- data transmission
- save energy
- support vector machine svm
- learning problems
- base station
- conditional random fields
- machine learning algorithms
- k nearest neighbor
- feature vectors
- kernel methods
- data center
- training set
- feature space
- kernel function
- sensor nodes
- residual energy
- decision trees
- routing algorithm
- data sets
- image segmentation
- multi hop
- information retrieval
- greenhouse gas emissions
- bayesian networks
- active learning
- learning experience
- markov random field
- text categorization