Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption.
Tae-Young KimSung-Bae ChoPublished in: CEC (2019)
Keyphrases
- energy consumption
- particle swarm optimization
- electricity consumption
- wireless sensor networks
- energy efficient
- energy saving
- energy efficiency
- sensor networks
- node density
- energy conservation
- base station
- data transmission
- data center
- sensor nodes
- routing protocol
- cellular networks
- social networks
- routing algorithm
- network structure
- multi hop
- energy aware
- power management
- wireless medium
- save energy
- multi objective
- total energy
- data aggregation
- recurrent neural networks
- network coding
- resource limitations
- differential evolution
- neural network
- network size
- network connectivity
- data gathering
- network resources
- sensor data
- limited resources
- environmental impact
- reduce the energy consumption