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

Author:

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

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

Reference150 articles.

1. United Nations. “The 2030 agenda for sustainable development.” 2023. Available: https://sdgs.un.org/goals (visited on 10/19/2023).

2. G. Morin Techno-economic design optimization of solar thermal power plants . 2010.

3. SolarPACES Solarpaces guideline for bankable STE yield assessment checklist 2017. Available: https://www.solarpaces.org/csp-research-tasks/task-annexes-iea/task-i-solar-thermal-electric-systems/solarpaces-guideline-for-bankable-ste-yield-assessment/ (visited on 10/19/2023).

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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