Long term energy consumption forecasting using genetic programming
| dc.contributor.author | Korhan Karabulut | |
| dc.contributor.author | Ahmet Alkan | |
| dc.contributor.author | Ahmet Serdar Yilmaz | |
| dc.date.accessioned | 2025-10-06T17:53:20Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Managing electrical energy supply is a complex task. The most important part of electric utility resource planning is forecasting of the future load demand in the regional or national service area. This is usually achieved by constructing models on relative information such as climate and previous load demand data. In this paper a genetic programming approach is proposed to forecast long term electrical power consumption in the area covered by a utility situated in the southeast of Turkey. The empirical results demonstrate successful load forecast with a low error rate. © Association for Scientific Research. © 2020 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.3390/mca13020071 | |
| dc.identifier.issn | 22978747, 1300686X | |
| dc.identifier.issn | 2297-8747 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-39549086785&doi=10.3390%2Fmca13020071&partnerID=40&md5=4643579f5c271f4024ba40e5cd18d20f | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/10365 | |
| dc.language.iso | English | |
| dc.publisher | Association for Scientific Research | |
| dc.relation.ispartof | Mathematical and Computational Applications | |
| dc.source | Mathematical and Computational Applications | |
| dc.subject | Genetic Programming, Load Forecasting, Symbolic Regression, Electric Loads, Electric Power Utilization, Energy Management, Regression Analysis, Resource Allocation, Electrical Energy Supply, Load Forecasting, Symbolic Regression, Genetic Programming | |
| dc.subject | Electric loads, Electric power utilization, Energy management, Regression analysis, Resource allocation, Electrical energy supply, Load forecasting, Symbolic regression, Genetic programming | |
| dc.title | Long term energy consumption forecasting using genetic programming | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
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| gdc.description.endpage | 80 | |
| gdc.description.startpage | 71 | |
| gdc.description.volume | 13 | |
| gdc.identifier.openalex | W2417189808 | |
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| gdc.oaire.keywords | genetic programming; load forecasting; symbolic regression | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.opencitations.count | 18 | |
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| person.identifier.scopus-author-id | Karabulut- Korhan (17346083500), Alkan- Ahmet (56261391700), Yilmaz- Ahmet Serdar (55212131300) | |
| publicationissue.issueNumber | 2 | |
| publicationvolume.volumeNumber | 13 | |
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