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  Electricity Exchange: Demand Side Unit performance monitoring

Bokharaie, V., Carroll, P., Devine, M., Fennell, P., Gleeson, J., Hayes, K., et al.(2013). Electricity Exchange: Demand Side Unit performance monitoring (687). Limerick, Ireland: Mathematics Applications Consortium for Science and Industry, University of Limerick: ESGI 93.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0001-4D92-4 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0001-4D93-3
Genre: Bericht

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externe Referenz:
http://www.maths-in-industry.org/miis/687/1/ElectricityExchange_MACSIreport.pdf (beliebiger Volltext)
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 Urheber:
Bokharaie, VS1, Autor           
Carroll, P, Autor
Devine, M, Autor
Fennell, P, Autor
Gleeson, J, Autor
Hayes, K, Autor
Hunter, G, Autor
Idiak, J, Autor
Lee, W, Autor
Lynch, J, Autor
Mason, J, Autor
Nowotarski, J, Autor
O'Connoll, M, Autor
O'Sullivan, D, Autor
Tomczyk, J, Autor
Ward, J, Autor
Yan, LTA, Autor
Finn, P, Autor
Affiliations:
1MACSI, Department of Mathematics and Statistics, University of Limerick, Ireland, ou_persistent22              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Demand Side Response management encourages elec- tricity demand reduction during peak hours. One avenue for achieving this is through Demand Side Units (DSUs). These are large electricity consumers who can afford to reduce their demand on the electricity grid when required. Issues with DSUs revolve around verification that the correct demand reduction takes place, with limited monitoring capabilities from the electrical grid operator Eir- Grid. This issue is studied here with the current methods thoroughly analysed and new methods proposed. In this report six different forecasting methods are presented, and their accuracy is compared using two different error metrics. Due to inherent stochasticity in demand it is found that there is no one fore- casting method which is unequivocally best, but the ‘Keep it simple’ weekly and the temperature dependent models are identified as the most promising models to pursue. Initial investigations suggest that a ‘proxy day’ mechanism may be preferable to the current method of verifying that the correct demand reduction takes place.

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Sprache(n):
 Datum: 2013-08
 Publikationsstatus: Erschienen
 Seiten: 51
 Ort, Verlag, Ausgabe: Limerick, Ireland : Mathematics Applications Consortium for Science and Industry, University of Limerick: ESGI 93
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: Reportnr.: 687
 Art des Abschluß: -

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