A review on the applicability of machine learning techniques to the metamodeling of energy systems-Reference-Cited by-同舟云学术

A review on the applicability of machine learning techniques to the metamodeling of energy systems

Published:2023-11-30 Issue: Volume: Page:1-30
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Starke Allan R.¹^ORCID,da Silva Alexandre K.¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Federal University of Santa Catarina, Florianópolis, SC, Brazil

Funder

Programa de Recursos Humanos da Agência Nacional do Petróleo, Gás Natural e Biocombustíveis – PRH-ANP-45

Publisher

Informa UK Limited

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,Modeling and Simulation,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2023.2280208

Reference150 articles.

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4. Optimized dispatch in a first-principles concentrating solar power production model

5. Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation

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