An ANN-GA Semantic Rule-Based System to Reduce the Gap Between Predicted and Actual Energy Consumption in Buildings.
Baris YuceYacine RezguiPublished in: IEEE Trans Autom. Sci. Eng. (2017)
Keyphrases
- energy consumption
- artificial neural networks
- genetic algorithm ga
- save energy
- wireless sensor networks
- energy efficient
- genetic algorithm
- energy saving
- energy efficiency
- sensor networks
- reduce the energy consumption
- energy conservation
- base station
- neural network
- data center
- data transmission
- routing protocol
- routing algorithm
- power consumption
- sensor nodes
- fitness function
- greenhouse gas emissions
- multi hop
- data aggregation
- total energy
- data gathering
- power management
- residual energy
- electricity consumption
- cluster head
- environmental impact