New Insights into the Emerging Trends Research of Machine and Deep Learning Applications in Energy Storage: A Bibliometric Analysis and Publication Trends

New Insights into the Emerging Trends Research of Machine and Deep Learning Applications in Energy Storage: A Bibliometric Analysis and Publication Trends

The publication trends and bibliometric analysis of the research landscape on the applications of machine and deep learning in energy storage (MDLES) research were examined in this study based on published documents in the Elsevier Scopus database between 2012 and 2022. The PRISMA technique employe...

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Bibliographic Details
Main Authors: Samuel-Soma Ajibade, Abdelhamid Zaidi, Asamh Saleh M. Al Luhayb, Anthonia Oluwatosin Adediran, Liton Chandra Voumik, Fazle Rabbi
Format: Article
Language:English
Published: EconJournals 2023-09-01
Series:International Journal of Energy Economics and Policy
Subjects:
Machine Learning
Deep learning
Energy Storage
Renewable Energy Technologies
Bibliometric Analysis
Online Access:http://econjournals.com/index.php/ijeep/article/view/14832

Internet

http://econjournals.com/index.php/ijeep/article/view/14832

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