Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption.
Ali AzadehS. F. GhaderiS. TarverdianMorteza SaberiPublished in: Appl. Math. Comput. (2007)
Keyphrases
- energy consumption
- artificial neural networks
- genetic algorithm
- electrical energy
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- energy conservation
- sensor networks
- neural network
- genetic algorithm ga
- power management
- data center
- routing protocol
- sensor nodes
- save energy
- energy aware
- computational intelligence
- routing algorithm
- base station
- data transmission
- transmission line
- residual energy
- environmental impact
- greenhouse gas emissions
- data sets
- total energy
- differential evolution
- resource limitations
- electricity consumption
- evolutionary algorithm
- data aggregation
- multi hop
- load distribution
- data streams