dc.contributor.author | Mahdiraji, Hannan Amoozad | |
dc.contributor.author | Beheshti, Moein | |
dc.contributor.author | Hajiagha, Seyed Hossein Razavi | |
dc.contributor.author | Turskis, Zenonas | |
dc.date.accessioned | 2023-09-18T17:26:19Z | |
dc.date.available | 2023-09-18T17:26:19Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1392-2785 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/123019 | |
dc.description.abstract | The prominent effect of electricity in nowadays life and relevancy of all of the appliances recently used to this phenomenon has been largely taken for granted. Nonetheless, governments lack the ability to even the production rate to consumption. Countries have developed numerous frameworks to control and improve the urban and industrial electrical consumption. The population growth and consumer culture are forcing governments to raise the price; however, it seems an inefficient method to control the increase of general public's tendency to control their consuming behaviour. This paper discusses the main criterion affecting the electrical consumption and based on those factors the singular spectrum analysis is implemented to predict the utilization. Furthermore, a fuzzy regression model is depicted to optimise the function. The optimisation results demonstrate significant decrease compared with SSA forecasting method, indicating the efficiency of the proposed method. Eventually, the results conspicuously suggest that attention to construction method and usage culture improvements are the first priority to decrease the radical electrical consumption in Iran and become more optimistic for managing electrical network more probably. | eng |
dc.format | PDF | |
dc.format.extent | p. 151-162 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | VINITI | |
dc.relation.isreferencedby | Business Source Complete | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.source.uri | http://dx.doi.org/10.5755/j01.ee.30.2.21001 | |
dc.source.uri | http://inzeko.ktu.lt/index.php/EE/article/view/21001 | |
dc.title | A hybrid fuzzy regression - SSA approach for electricity consumption optimisation | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 74 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | University of Tehran | |
dc.contributor.institution | University of Tehran Kish International Campus | |
dc.contributor.institution | Khatam University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | Singular Spectrum Analysis | |
dc.subject.en | electrical demand | |
dc.subject.en | electrical energy consumption | |
dc.subject.en | fuzzy regression | |
dc.subject.en | prediction | |
dcterms.sourcetitle | Inžinerinė ekonomika = Engineering economics | |
dc.description.issue | iss. 2 | |
dc.description.volume | vol. 30 | |
dc.publisher.name | KTU | |
dc.publisher.city | Kaunas | |
dc.identifier.doi | 000466162700003 | |
dc.identifier.doi | 10.5755/j01.ee.30.2.21001 | |
dc.identifier.elaba | 38618346 | |