Forecasting Solar Power Output Generation: A Systematic Review with the Proknow-C

Authors

  • Joylan Nunes Maciel Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil.
  • Jorge Javier Giménez Ledesma Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil.
  • Oswaldo Hideo Ando Junior Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil. https://orcid.org/0000-0002-6951-0063

Keywords:

Solar Power Forecasting, Photovoltaic Output Prediction,, Solar Energy, Proknow-C, Bibliometric Analisys

Abstract

This paper presents a systematic review of the solar output power generation forecasting using the Proknow-C methodology for the development of a bibliographic portfolio which allows identifying the state of the art for use as a scientific reference and encouraging further research and development of new models. The execution of the process identified 292 papers relevant to the theme from the two important international scientific databases. The portfolio creation process and bibliometric analysis of the recognition of articles, authors, keywords, journals and review articles are described. The theme of this research is current and of interest in the international scientific community, however, in Brazil and Latin America few related researches were observed. The annual historical profile of publications has shown a growing number of recent research on the theme, which motivated the proposition of an adjustment to Proknow-C to create more concise repositories. This paper's contributions have an exploratory and descriptive meaning, which provides the state of the art in the solar power output generation forecasting for use as a theoretical framework in future researches in Latin America, and another methodological meaning that discusses the process using a case study.

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Author Biographies

Joylan Nunes Maciel, Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil.

Joylan Nunes Maciel received the title bachelor of Computer Science from the Western Paraná State University (2005), and master’s degree in Informatics from the Federal University of Paraná (2008). He is Professor at the Federal University of Latin American Integration (UNILA) and currently a Ph.D student in Energy and Susteinability from the UNILA. His main research is in the areas of computer science, software development and Machine Learning.

Jorge Javier Giménez Ledesma , Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil.

Jorge Javier Gimenez Ledesma has a degree in Electromechanical Engineering from the University Nuestra Señora de la Asunción (2009), a master's degree (2012) and Ph.D (2017) in Electrical Engineering from the Federal University of Juiz de Fora. Adjunct Professor at the UNILA. He works on the following topics: Analysis of the protection system in computer distribution and programming systems.

Oswaldo Hideo Ando Junior, Federal University of Latin American Integration (UNILA). Foz do Iguaçu, Paraná, Brasil.

Oswaldo Hideo Ando Junior, Graduated in Electrical Engineering (2006) with a Specialization in Business Administration (2007) from the Lutheran University of Brazil - ULBRA with Master's Degree in Electrical Engineering (2009) from the Federal University of Rio Grande do Sul - UFRGS and Ph.D. in Mining Engineering, Metallurgy, and Materials of the Federal University of Rio Grande do Sul – UFRGS (2014). He has engineering experience working on the following topics: Energy conversion, electrical energy quality, electrical energy systems, residual energy capture, and energy efficiency. Associate Editor IEEE Latin America Magazine. Member of the Review Committee of several journals: Renewable Energy Focus (Elsevier) and IEEE Latin-American Magazine. Ad hoc consultant FAPESC, Advisory Committee Area of the Araucária Foundation (CAA), ad hoc consultant CNPq, ad hoc advisor I + DI of the National Power Energy Agency (ANEEL).

Published

2021-06-07

How to Cite

Maciel, J. N. ., Javier Giménez Ledesma , J., & Hideo Ando Junior, O. (2021). Forecasting Solar Power Output Generation: A Systematic Review with the Proknow-C. IEEE Latin America Transactions, 19(4), 612–624. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/3784