A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting
author
Javed, Umar
Ijaz, Khalid
Jawad, Muhammad
Khosa, Ikramullah
Ansari, Ejaz Ahmad
Zaidi, Khurram Shabih
Rafiq, Muhammad Nadeem
Shabbir, Noman
statement of authorship
Umar Javed, Khalid Ijaz, Muhammad Jawad, Ikramullah Khosa, Ejaz Ahmad Ansari, Khurram Shabih Zaidi, Muhammad Nadeem Rafiq, Noman Shabbir
source
Expert systems with applications
publisher
Elsevier
journal volume number month
vol. 205
year of publication
2022
pages
art. 117689
url
https://doi.org/10.1016/j.eswa.2022.117689
subject term
andmeanalüüs
tehisintellekt
tehisõpe
arvutipõhine õpe
keyword
data analysis
load forecasting
learning (artificial intelligence)
machine learning
power engineering computing
time series analysis
ISSN
0957-4174
notes
Bibliogr.: 50 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/24201
https://www.scopus.com/record/display.uri?eid=2-s2.0-85131677169&origin=inward&txGid=f37838914ef69c01b9f8920019c2e3c5
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=EXPERT%20SYST%20APPL&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000832950900004
category (general)
Engineering
Computer science
Tehnika
Arvutiteadus
category (sub)
Engineering. General engineering
Computer science. Computer science applications
Computer science. Artificial intelligence
Tehnika. Üldine inseneriteadus
Arvutiteadus. Arvutiteaduse rakendused
Arvutiteadus. Tehisintellekt
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Fundamentals of electrical engineering