Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
author
Mishra, Sambeet
Bordin, Chiara
Taharaguchi, Kota
Palu, Ivo
statement of authorship
Sambeet Mishra, Chiara Bordin, Kota Taharaguchi, Ivo Palu
source
Energy reports
publisher
Elsevier
journal volume number month
vol. 6
year of publication
2020
pages
p. 273−286
url
https://doi.org/10.1016/j.egyr.2019.11.009
subject term
tehisõpe
prognostika
tuuleenergia
modelleerimine (teadus)
mudelipõhine tarkvaraarendus
keyword
unsupervised machine learning
multi-variate prediction
short and long term prediction
wind power forecasting
time series to frequency transformation
performance evaluation and comparison
ISSN
2352-4847
notes
Bibliogr.: 44 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100389511
https://www.scopus.com/record/display.uri?eid=2-s2.0-85080072375&origin=inward&txGid=3f032b13288c6522e1455901cd00b036
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGY%20REP&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000518453800027
category (general)
Energy
Energia
category (sub)
Energy. General energy
Energia. Üldenergia
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Energy economics and high voltage engineering research group