Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities-Reference-Cited by-同舟云学术

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Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

Published:2022-08 Issue: Volume:9 Page:100169
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference71 articles.

1. Deep learning in power systems research: A review;Khodayar;CSEE J Power Energy Syst,2020

2. Deep learning methods and applications for electrical power systems: A comprehensive review;Ozcanli;Int J Energy Res,2020

3. XAI-explainable artificial intelligence;Gunning;Science Robotics,2019

4. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI) 6;Adadi,2018

5. Opportunities and challenges in explainable artificial intelligence (XAI): A survey;Das,2020

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