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Development and testing of a micro-grid excess power production forecasting algorithms

Mavrigiannaki Angeliki, Kampelis Nikolaos, Kolokotsa Dionysia, Marchegiani Daniele, Standardi, Laura, Isidori Daniela, Christalli Cristina

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URIhttp://purl.tuc.gr/dl/dias/1B444A3F-569E-48AB-9C37-A8C987EA5907-
Identifierhttps://www.sciencedirect.com/science/article/pii/S1876610217347173?via%3Dihub-
Identifierhttps://doi.org/10.1016/j.egypro.2017.09.583-
Languageen-
Extent10 pagesen
TitleDevelopment and testing of a micro-grid excess power production forecasting algorithmsen
CreatorMavrigiannaki Angelikien
CreatorΜαυριγιαννακη Αγγελικηel
CreatorKampelis Nikolaosen
CreatorΚαμπελης Νικολαοςel
CreatorKolokotsa Dionysiaen
CreatorΚολοκοτσα Διονυσιαel
CreatorMarchegiani Danieleen
CreatorStandardi, Lauraen
CreatorIsidori Danielaen
CreatorChristalli Cristinaen
PublisherElsevieren
Content SummaryTraditional electricity grids lack flexibility in power generation and load operation in contrast to smart-micro grids that form semi-autonomous entities with energy management capabilities. Load forecasting is invaluable to smart micro-grids towards assisting the implementation of energy management schedules for cost-efficient and secure operation. In the present paper is examined the 24h forecasting of excess production in an existing micro-grid. Alternative input parameters are considered for achieving an accurate prediction. The prediction can be used for scheduling the charging process of a thermal storage during weekends based on excess power production levels.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-06-06-
Date of Publication2017-
SubjectArtificial neural networken
SubjectForecastingen
SubjectIntegrationen
SubjectMicro-griden
Bibliographic CitationA. Mavrigiannaki, N. Kampelis, D. Kolokotsa, D. Marchegiani, L. Standardi, D. Isidori and C. Christalli, "Development and testing of a micro-grid excess power production forecasting algorithms," in 9th International Conference on Sustainability and Energy in Buildings, 2017, pp. 654-663. doi: 10.1016/j.egypro.2017.09.583en

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