Show simple item record

dc.contributor.author
Sun, Mingyang
dc.contributor.author
Zhang, Tingqi
dc.contributor.author
Wang, Yi
dc.contributor.author
Strbac, Goran
dc.contributor.author
Kang, Chongqing
dc.date.accessioned
2020-02-03T12:25:23Z
dc.date.available
2020-02-03T03:43:58Z
dc.date.available
2020-02-03T12:25:23Z
dc.date.issued
2020-01
dc.identifier.issn
0885-8950
dc.identifier.issn
1558-0679
dc.identifier.other
10.1109/TPWRS.2019.2924294
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/396561
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Probabilistic net load forecasting
en_US
dc.subject
distributed PV generation
en_US
dc.subject
Bayesian deep learning
en_US
dc.subject
clustering
en_US
dc.subject
long short-termmemory
en_US
dc.title
Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
en_US
dc.type
Journal Article
dc.date.published
2019-06-21
ethz.journal.title
IEEE Transactions on Power Systems
ethz.journal.volume
35
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
IEEE Trans. Power Syst.
ethz.pages.start
188
en_US
ethz.pages.end
201
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02632 - Inst. f. El. Energieübertragung u. Hoch. / Power Systems and High Voltage Lab.::09481 - Hug, Gabriela / Hug, Gabriela
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02632 - Inst. f. El. Energieübertragung u. Hoch. / Power Systems and High Voltage Lab.::09481 - Hug, Gabriela / Hug, Gabriela
ethz.date.deposited
2020-02-03T03:44:07Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-02-03T12:25:33Z
ethz.rosetta.lastUpdated
2021-02-15T07:47:44Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Using%20Bayesian%20Deep%20Learning%20to%20Capture%20Uncertainty%20for%20Residential%20Net%20Load%20Forecasting&rft.jtitle=IEEE%20Transactions%20on%20Power%20Systems&rft.date=2020-01&rft.volume=35&rft.issue=1&rft.spage=188&rft.epage=201&rft.issn=0885-8950&1558-0679&rft.au=Sun,%20Mingyang&Zhang,%20Tingqi&Wang,%20Yi&Strbac,%20Goran&Kang,%20Chongqing&rft.genre=article&rft_id=info:doi/10.1109/TPWRS.2019.2924294&
 Search print copy at ETH Library

Files in this item

FilesSizeFormatOpen in viewer

There are no files associated with this item.

Publication type

Show simple item record