Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunities
author
Machlev, Ram
Heistrene, L.
Perl, M.
Levy, K. Y.
Belikov, Juri
Mannor, S.
Levron, Yoash
statement of authorship
R. Machlev, L. Heistrene, M. Perl, K. Y. Levy, J. Belikov, S. Mannor, Y. Levron
source
Energy and AI
publisher
Elsevier
journal volume number month
vol. 9
year of publication
2022
pages
art. 100169, 13 p. : ill
url
https://doi.org/10.1016/j.egyai.2022.100169
subject term
elektrienergia
süvaõpe
tehisintellekt
tehisnärvivõrgud
keyword
power
energy
neural network
deep-learning (DL)
Explainable Artificial Intelligence (XAI)
ISSN
2666-5468
notes
Bibliogr.: 71 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21101047378
https://www.scopus.com/record/display.uri?eid=2-s2.0-85132376057&origin=inward&txGid=7ff0ba320a9573d92d9c94a51e6d1fc0
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001059192900006
category (general)
Engineering
Computer science
Energy
Tehnika
Arvutiteadus
Energia
category (sub)
Engineering. Engineering (miscellaneous)
Computer science. Artificial intelligence
Energy. General energy
Tehnika. Tehnika (mitmesugused)
Arvutiteadus. Tehisintellekt
Energia. Üldenergia
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for intelligent systems
Nonlinear control systems group