A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit
dc.contributor.author
Yao, Tiechui
dc.contributor.author
Wang, Jue
dc.contributor.author
Wu, Haoyan
dc.contributor.author
Zhang, Pei
dc.contributor.author
Li, Shigang
dc.contributor.author
Wang, Yangang
dc.contributor.author
Chi, Xuebin
dc.contributor.author
Shi, Min
dc.date.accessioned
2021-11-15T21:24:38Z
dc.date.available
2021-11-13T07:54:51Z
dc.date.available
2021-11-15T21:24:38Z
dc.date.issued
2021-12
dc.identifier.issn
0038-092X
dc.identifier.issn
1471-1257
dc.identifier.other
10.1016/j.solener.2021.09.050
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/515012
dc.description.abstract
The power output of photovoltaic (PV) systems is chiefly affected by climate and weather conditions. In that, PV farm requires accurate weather data, particularly, solar irradiance, in order to predict its power output as a means to improve solar energy utilization. Nevertheless, publicly available datasets which consist both power and weather data are exceptionally few. This may be a combined effect of data propriety and cumbersome collection procedure. And the rarity of such data greatly hinders the progress of solar PV research. Indeed, most solar energy meteorology applications, such as solar forecasting or PV performance evaluation, can benefit from multi-source high-quality datasets. In view of that, we release a PV power output dataset (PVOD), which contains metadata, numerical weather prediction data, and local measurements data from 10 PV systems located in China. In PVOD, a Python toolkit with basic functions for data access and preprocessing is provided. Additionally, a case study on PV power output estimation is depicted to demonstrate the potential usage of the dataset.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Photovoltaic power output dataset
en_US
dc.subject
Open source
en_US
dc.subject
Python toolkit
en_US
dc.subject
Data article
en_US
dc.title
A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit
en_US
dc.type
Journal Article
dc.date.published
2021-10-15
ethz.journal.title
Solar Energy
ethz.journal.volume
230
en_US
ethz.journal.abbreviated
Sol. energy
ethz.pages.start
122
en_US
ethz.pages.end
130
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Kidlington
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-11-13T07:56:53Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-11-15T21:24:58Z
ethz.rosetta.lastUpdated
2021-11-15T21:24:58Z
ethz.rosetta.versionExported
true
ethz.COinS
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Journal Article [130370]