Genetic algorithms to optimize the operating costs of electricity and heating networks in buildings considering distributed energy generation and storage.
Pablo CortésJesús MuñuzuriMiguel Berrocal-de-OIsmael DomínguezaPublished in: Comput. Oper. Res. (2018)
Keyphrases
- operating costs
- genetic algorithm
- energy consumption
- electricity consumption
- computer networks
- heterogeneous networks
- supply chain
- distributed systems
- neural network
- energy saving
- evolutionary algorithm
- limited capacity
- distributed environment
- peer to peer networks
- multi objective
- remote server
- wide area network
- power generation
- forecast models
- power distribution systems
- network nodes
- energy efficiency
- aerial images
- artificial neural networks
- multi agent
- social networks
- electric power
- storage systems
- network resources
- short term
- sensor networks
- renewable energy
- solar energy
- data mining