Machine Learning algorithms for prediction of energy consumption and IoT modeling in complex networks.
Reyhane Hafezi FardSoodeh HosseiniPublished in: Microprocess. Microsystems (2022)
Keyphrases
- machine learning algorithms
- energy consumption
- complex networks
- benchmark data sets
- wireless sensor networks
- energy efficiency
- energy efficient
- energy saving
- learning algorithm
- machine learning
- decision trees
- sensor networks
- community detection
- energy conservation
- machine learning methods
- data transmission
- data center
- network analysis
- social network analysis
- prediction accuracy
- energy aware
- environmental impact
- real world networks
- standard machine learning algorithms
- base station
- social networks
- power management
- machine learning models
- scale free
- electricity consumption
- biological networks
- link prediction
- residual energy
- machine learning approaches
- routing protocol
- routing algorithm
- transfer learning
- cloud computing
- management system
- save energy
- small world
- sensor nodes
- network structure
- scale free networks
- smart home
- data management
- greenhouse gas emissions
- information theoretic concepts
- stability margin
- community structure
- statistical machine learning
- context aware
- multi hop
- predictive model