Implications of photovoltaics and the use of algorithms for economic development

Abstract

INTRODUCTION: Photovoltaic energy is a renewable, clean, and safe energy source obtained from sunlight. The challenges facing governments are challenging and require significant efforts to promote it as a solution to the global climate crisis and to help reduce environmental pollution. Emerging countries have seen the need to establish policies promoting photovoltaic energy supported with cutting-edge technologies and algorithms to achieve economic development.

OBJECTIVES: Este trabajo tuvo por objetivos analizar las implicaciones de la energía fotovoltaica y el uso de algoritmos para el desarrollo económico. METHODS: The study used the bibliometric method of articles from 2013-2023. The information was obtained from the Scopus database. The analysis was done with the VOSviewer program, which allowed the creation of author maps through co-citation and keyword maps through co-occurrence.

RESULTS: The total number of articles found in the study period was 135. The results of the analysis of the co-occurrence of keywords by the author revealed the formation of two clusters. The first cluster identified with red color is related to photovoltaic efficiency, whereas the second cluster is related to sustainable development. For 2023, the research interest has turned to studies on the use of Machine Learning.

CONCLUSION: The search terms used showed that globalization and the development of algorithms have posed new challenges for countries to adopt new technologies to achieve economic development. As the years have passed, scientific production has increased, as evidenced by the notorious increase of articles in 2021, 2022, and 2023. A line of research has been generated on machine learning, which requires multidisciplinary studies that enable the generation of knowledge on this subject applied to photovoltaic energy and economic development.