Application of PSO algorithm to choose the best scenario for energy demand forecast of residential and commercial sectors in Iran
Hesam Nazari and Aliyeh Kazemi
| Year of publication: |
2016
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|---|---|
| Authors: | Nazari, Hesam ; Kazemi, Aliyeh |
| Published in: |
International journal of energy sector management : IJESM. - Bingley : Emerald, ISSN 1750-6220, ZDB-ID 2364730-9. - Vol. 10.2016, 4, p. 576-593
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| Subject: | Residential and commercial | Forecasting | Energy sector | Evolutionary programming | Particle swarm optimization (PSO) | Iran | Energieprognose | Energy forecast | Prognoseverfahren | Forecasting model | Energiekonsum | Energy consumption | Algorithmus | Algorithm | Energiewirtschaft |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/IJESM-10-2014-0006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011639044