<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article shows the role that digital intelligence has on renewable energy, based on literature underpinnings. Therefore, the methodological research is based on literature review to demonstrate the link between artificial intelligence and renewable energy, with a focus on global sustainable development strategies in this field. The main findings reveal the fact that we must take advantage of the opportunities offered by artificial intelligence on energy, in general, and renewable energy, in particular. Referring to literature, it is constantly expanding due to the importance of the development of renewable energy for researchers but also for the population, being many parties interested in this field. The aim of the study is to highlight the relationship between renewable energy and artificial intelligence. Therefore, with the help of artificial intelligence and energy innovations, the population enjoys renewable energy that exists in its many forms (solar panels or photovoltaic panels, water, or wind energy and so on). To put in a nutshell, the research considered in this article reflects the impact of artificial intelligence on renewable energy as part of supporting the achievement of sustainable economic development.</p>
</abstract>

This article shows the role that digital intelligence has on renewable energy, based on literature underpinnings. Therefore, the methodological research is based on literature review to demonstrate the link between artificial intelligence and renewable energy, with a focus on global sustainable development strategies in this field. The main findings reveal the fact that we must take advantage of the opportunities offered by artificial intelligence on energy, in general, and renewable energy, in particular. Referring to literature, it is constantly expanding due to the importance of the development of renewable energy for researchers but also for the population, being many parties interested in this field. The aim of the study is to highlight the relationship between renewable energy and artificial intelligence. Therefore, with the help of artificial intelligence and energy innovations, the population enjoys renewable energy that exists in its many forms (solar panels or photovoltaic panels, water, or wind energy and so on). To put in a nutshell, the research considered in this article reflects the impact of artificial intelligence on renewable energy as part of supporting the achievement of sustainable economic development.

Artificial Intelligence and Renewable Energy Utilization

University of Craiova, Doctoral School of Economics ”Eugeniu Carada”

Proceedings of the International Conference on Business Excellence

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Artificial Intelligence and Renewable Energy Utilization"}

This article shows the role that digital intelligence has on renewable energy, based on literature underpinnings. Therefore, the methodological research is...

Artificial Intelligence and Renewable Energy Utilization

Online veröffentlicht: 03. Juli 2024

Seitenbereich: 2776 - 2783

DOI: https://doi.org/10.2478/picbe-2024-0231

Schlüsselwörter
artificial intelligence, renewable energy, sustainable economy, energy resources, sustainable development, energy efficiency

© 2024 Daniela Iorgovan., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artificial Intelligence and Renewable Energy Utilization

Online veröffentlicht: 03. Juli 2024

Seitenbereich: 2776 - 2783

DOI: https://doi.org/10.2478/picbe-2024-0231

Schlüsselwörterartificial intelligence, renewable energy, sustainable economy, energy resources, sustainable development, energy efficiency

© 2024 Daniela Iorgovan., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
artificial intelligence, renewable energy, sustainable economy, energy resources, sustainable development, energy efficiency