Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study.
Aria JoziTiago PintoIsabel PraçaSérgio RamosZita A. ValeBénédicte GoujonTeodora PetrisorPublished in: SSCI (2017)
Keyphrases
- energy consumption
- fuzzy inference system
- neuro fuzzy
- case study
- electricity consumption
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- fuzzy rules
- sensor networks
- data transmission
- energy conservation
- neural network
- fuzzy systems
- fuzzy controller
- routing protocol
- power management
- fuzzy logic
- artificial neural networks
- membership functions
- multi hop
- energy aware
- save energy
- base station
- data center
- total energy
- input output
- greenhouse gas emissions
- environmental impact
- resource limitations
- reduce the energy consumption
- fuzzy model
- rule base
- power consumption
- sensor nodes
- fuzzy sets
- computational intelligence
- expert systems
- machine learning
- data mining