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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

7 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 49th International Universities' Power Engineering Conference (UPEC), 2-5 September 2014, Cluj-Napoca, Romania
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
ISBN (Print)	978-1-4799-6557-1
DOIs	https://doi.org/10.1109/UPEC.2014.6934668
Publication status	Published - 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 (pp. 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",

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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, pp. 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. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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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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. p. 1-6 doi: 10.1109/UPEC.2014.6934668

Automatic PV production profile generation using geographic and historical weather data

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