Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management
author
Shabbir, Noman
Kütt, Lauri
Astapov, Victor
Daniel, Kamran
Jawad, Muhammad
Husev, Oleksandr
Rosin, Argo
Martins, Joao
statement of authorship
Noman Shabbir, Lauri Kütt, Victor Astapov, Kamran Daniel, Muhammad Jawad, Oleksandr Husev, Argo Rosin, João Martins
source
Applied energy
publisher
Elsevier
journal volume number month
vol. 372
year of publication
2024
pages
art. 123770
url
https://doi.org/10.1016/j.apenergy.2024.123770
subject term
taastuvenergia
maht
sügavõpe
jaotusvõrgud
keyword
renewable energy
congestion control
hosting capacity
deep learning
LSTM
ISSN
1872-9118
0306-2619
notes
Bibliogr.: 65 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/28801
https://www.scopus.com/pages/publications/85197265747?inward
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=APPL%20ENERG&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001265839900001
category (general)
Environmental science
Keskkonnateadus
Engineering
Tehnika
Energy
Energia
category (sub)
Environmental science. Management, monitoring, policy and law
Keskkonnateadus. Juhtimine, järelevalve, poliitika ja õigus
Engineering. Mechanical engineering
Tehnika. Masinaehitus
Engineering. Building and construction
Tehnika. Ehitus ja ehitus
Energy. General energy
Energia. Üldenergia
Energy. Renewable energy, sustainability and the environment
Energia. Taastuvenergia, jätkusuutlikkus ja keskkond
quartile
Q1
TalTech department
Targa linna tippkeskus
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Fundamentals of electrical engineering