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Improved PV Soiling Extraction Through the Detection of Cleanings and Change Points

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Mar 2021 Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Journal of Photovoltaics, volume 11, pages 519-526 (issn: 2156-3381, eissn: 2156-3403,

Authors: Leonardo Micheli; Marios Theristis; Andreas Livera; Joshua S. Stein; George E. Georghiou; Matthew Muller; Florencia Almonacid; +1 Authors

doi: 10.1109/jphotov.2020.3043104 , 10.36227/techrxiv.14114438 , 10.36227/techrxiv.14114438.v1

handle: 11573/1625157

Improved PV Soiling Extraction Through the Detection of Cleanings and Change Points

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Abstract

<b>Accepted Manuscript (Postprint): </b>L. Micheli et al., “Improved PV Soiling Extraction through the Detection of Cleanings and Change Points,” IEEE Journal of Photovoltaics, Volume: 11, Issue: 2, March 2021.

Country

Italy

Related Organizations

University of Jaén
Spain
Sapienza University of Rome
Italy
University of Jaén
Spain
National Renewable Energy Laboratory
United States
Sandia National Laboratories
United States

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Keywords

Electrical and Electronic Engineering, monitoring; photovoltaic (PV) systems; regression analysis; soiling; time-series analysis, Condensed Matter Physics, Electronic, Optical and Magnetic Materials

2 Research products, page 1 of 1

pv_soiling software on GitHub
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NoSoilPV software on GitHub
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	25
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%