A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

Alabi, Tobi Michael; Aghimien, Emmanuel I; Agbajor, Favour D; Yang, Zaiyue; Lu, Lin; Adeoye, Adebusola R; Gopaluni, Bhushan

A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

journal contribution

posted on 2025-05-28, 05:12 authored by Tobi Michael Alabi, Emmanuel I Aghimien, Favour D Agbajor, Zaiyue Yang, Lin Lu, Adebusola R Adeoye, Bhushan Gopaluni

A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

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DOI - Is version of https://doi.org/10.1016/j.renene.2022.05.123

Location

Amsterdam, The Netherlands

Open access

No

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Journal

Renewable Energy

Volume

194

Pagination

822-849

ISSN

0960-1481

eISSN

1879-0682

Publisher

Elsevier

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Keywords

Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)13 Climate Action 7 Affordable and Clean Energy Multi-energy system Machine learning Deep learning Mathematical programming Optimization methods Carbon neutrality

A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

History

Related Materials

Location

Open access

Language

Publication classification

Journal

Volume

Pagination

ISSN

eISSN

Publisher

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Keywords

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