Evaluating the performance of genetic and particle swarm optimization algorithms to select an appropriate scenario for forecasting energy demand using economic indicators: residential and commercial sectors of Iran
Crossref DOI link: https://doi.org/10.1007/s40095-015-0179-8
Published Online: 2015-06-13
Published Print: 2015-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nazari, Hesam
Kazemi, Aliyeh
Hashemi, Mohammad-Hosein
Sadat, Mir Mahmoud
Nazari, Mahboobeh
Funding for this research was provided by:
University of Tehran
License valid from 2015-06-13