Machlev, R., Heistrene, L., Perl, M., Levy, K. Y., Belikov, J., Mannor, S., Levron, Y.

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

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Article at WOS

category (general)

Tehnika

Arvutiteadus

Energia

category (sub)

Tehnika. Tehnika (mitmesugused)

Arvutiteadus. Tehisintellekt

Energia. Üldenergia

kvartiil

TTÜ department

tarkvarateaduse instituut

language

inglise

Uurimisrühm

Centre for intelligent systems

Nonlinear control systems group

Machlev, R., Heistrene, L., Perl, M., Levy, K. Y., Belikov, J., Mannor, S., Levron, Y. Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunities // Energy and AI (2022) vol. 9, art. 100169, 13 p. : ill. https://doi.org/10.1016/j.egyai.2022.100169