Recent advances and applications of machine learning in the variable renewable energy sector

Research output: Contribution to journal › Review Article › peer-review

30 Citations (Scopus)

Original language	English
Pages (from-to)	5044-5065
Journal	Energy Reports
Volume	12
DOIs	https://doi.org/10.1016/j.egyr.2024.09.073
Publication status	Published - 2024
Externally published	Yes
Publication type	A2 Review article in a scientific journal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{7bc5f632c137435eac1446b31b634ace,

title = "Recent advances and applications of machine learning in the variable renewable energy sector",

author = "Subhajit Chatterjee and Khan, \{Prince Waqas\} and Yung-Cheol Byun",

year = "2024",

doi = "10.1016/j.egyr.2024.09.073",

language = "English",

volume = "12",

pages = "5044--5065",

journal = "Energy Reports",

issn = "2352-4847",

publisher = "Elsevier",

}

TY - JOUR

T1 - Recent advances and applications of machine learning in the variable renewable energy sector

AU - Chatterjee, Subhajit

AU - Khan, Prince Waqas

AU - Byun, Yung-Cheol

PY - 2024

Y1 - 2024

U2 - 10.1016/j.egyr.2024.09.073

DO - 10.1016/j.egyr.2024.09.073

M3 - Review Article

SN - 2352-4847

VL - 12

SP - 5044

EP - 5065

JO - Energy Reports

JF - Energy Reports

ER -