Demand forecasting and generation scheduling for a secure and cost-effective operation of power systems

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dc.contributor.authorKoksal A.
dc.contributor.authorSezgin L.
dc.contributor.authorOzdemir A.
dc.date.accessioned2024-03-13T10:00:55Z
dc.date.available2024-03-13T10:00:55Z
dc.date.issued2022
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description2022 International Conference on Power, Energy and Innovations, ICPEI 2022 -- 19 October 2022 through 21 October 2022 -- -- 185591en_US
dc.description.abstractThis paper presents a practical approach for demand forecasting and generation scheduling in a power system with solar PV sources and a Compressed Air Energy Storage System. The demand-forecasting method is improved using an artificial neural network in the first stage. After forecasting the demand for several representative days, the cost-effective generation scheduling is achieved for PV generation units and storage systems at the second stage. The proposed forecasting and generation scheduling approaches are tested in IEEE-RTS-96 test system, and the results are discussed from a technical and economic point of view. © 2022 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 121E060en_US
dc.description.sponsorshipACKNOWLEDGMENT This research is partially funded by TUBITAK project, Grant# 121E060.en_US
dc.identifier.doi10.1109/ICPEI55293.2022.9987031
dc.identifier.isbn9781665460194
dc.identifier.scopus2-s2.0-85146432575en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICPEI55293.2022.9987031
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2857
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 International Conference on Power, Energy and Innovations, ICPEI 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcompressed air energy storage systemen_US
dc.subjectcost-effective operationen_US
dc.subjectGeneration schedulingen_US
dc.subjectload forecastingen_US
dc.subjectsolar generation unitsen_US
dc.titleDemand forecasting and generation scheduling for a secure and cost-effective operation of power systemsen_US
dc.typeConference Objecten_US

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