A hybrid approach based on inverse neural network to determine optimal level of energy consumption in electrical power generation.
Mustafa Jahangoshai RezaeeMojtaba DadkhahPublished in: Comput. Ind. Eng. (2019)
Keyphrases
- energy consumption
- power generation
- neural network
- wireless sensor networks
- electrical energy
- energy saving
- energy efficiency
- energy efficient
- production cost
- sensor networks
- electrical power
- data center
- carbon dioxide
- artificial neural networks
- routing protocol
- power system
- dynamic programming
- optimal solution
- neural network model
- production planning
- multi hop
- power plant
- wavelet neural network
- stochastic programming
- power management
- total energy
- residual energy
- artificial intelligence