Automatic PV production profile generation using geographic and historical weather data

B.M.J. Vonk; M. Gibescu; J.G. Slootweg; E. Veldman

doi:10.1109/UPEC.2014.6934668

Automatic PV production profile generation using geographic and historical weather data

B.M.J. Vonk
, M. Gibescu
, J.G. Slootweg
, E. Veldman

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

7 Downloads (Pure)

Samenvatting

This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.

Originele taal-2	Engels
Titel	Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1-6
ISBN van geprinte versie	978-1-4799-6557-1
DOI's	https://doi.org/10.1109/UPEC.2014.6934668
Status	Gepubliceerd - 2014

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10.1109/UPEC.2014.6934668

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Vonk, B. M. J., Gibescu, M., Slootweg, J. G., & Veldman, E. (2014). Automatic PV production profile generation using geographic and historical weather data. In Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania (blz. 1-6). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/UPEC.2014.6934668

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title = "Automatic PV production profile generation using geographic and historical weather data",

abstract = "This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.",

author = "B.M.J. Vonk and M. Gibescu and J.G. Slootweg and E. Veldman",

year = "2014",

doi = "10.1109/UPEC.2014.6934668",

language = "English",

isbn = "978-1-4799-6557-1",

pages = "1--6",

booktitle = "Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania",

publisher = "Institute of Electrical and Electronics Engineers",

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}

Vonk, BMJ, Gibescu, M, Slootweg, JG & Veldman, E 2014, Automatic PV production profile generation using geographic and historical weather data. in Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania. Institute of Electrical and Electronics Engineers, Piscataway, blz. 1-6. https://doi.org/10.1109/UPEC.2014.6934668

Automatic PV production profile generation using geographic and historical weather data. / Vonk, B.M.J.; Gibescu, M.; Slootweg, J.G. et al.
Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania. Piscataway: Institute of Electrical and Electronics Engineers, 2014. blz. 1-6.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Slootweg, J.G.

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N2 - This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.

AB - This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.

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DO - 10.1109/UPEC.2014.6934668

M3 - Conference contribution

SN - 978-1-4799-6557-1

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BT - Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania

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Vonk BMJ, Gibescu M, Slootweg JG, Veldman E. Automatic PV production profile generation using geographic and historical weather data. In Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania. Piscataway: Institute of Electrical and Electronics Engineers. 2014. blz. 1-6 doi: 10.1109/UPEC.2014.6934668

Automatic PV production profile generation using geographic and historical weather data

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