Exploring the Role of Robots and Artificial Intelligence in Advancing Renewable Energy Consumption

Gabriela Badareu (), Marius Dalian Doran, Mihai Alexandru Firu, Ionuț Marius Croitoru and Nicoleta Mihaela Doran
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Gabriela Badareu: Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania
Marius Dalian Doran: Faculty of Economics and Business Administration, West University of Timişoara, 300223 Timișoara, Romania
Mihai Alexandru Firu: Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania
Ionuț Marius Croitoru: Faculty of Entrepreneurship, Business Engineering and Management, National University of Science and Technology Politehnica, 060042 Bucharest, Romania
Nicoleta Mihaela Doran: Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania

Energies, 2024, vol. 17, issue 17, 1-17

Abstract: This study investigates the relationship between artificial intelligence (AI), industrial robots, and renewable energy consumption, driven by the rapid technological advancements and widespread adoption of AI tools in various industries. This research aims to evaluate the environmental implications of these technologies, specifically their impact on renewable energy usage. Employing a comprehensive analytical framework, this study utilizes advanced methodologies, including regularization factors, to accurately estimate the effects of these variables. Through a thorough data analysis, the research quantifies how AI and industrial robots influence the shift towards renewable energy sources. The findings reveal that investments in AI significantly enhance renewable energy consumption, as demonstrated by both conventional estimation techniques and those that integrate regularization factors. Conversely, the use of industrial robots is found to have a detrimental effect on renewable energy consumption. These results have important implications for policymakers, industry leaders, and sustainability researchers. This study encourages policymakers and investors to prioritize funding for AI solutions that promote renewable energy adoption, while it advises industry managers to strategically modify their use of industrial robots to reduce their environmental impact. Ultimately, this research lays a critical foundation for future inquiries and policy initiatives aimed at aligning technological advancements with sustainable energy practices.

Keywords: renewable energy; energy efficiency; industrial robots; artificial intelligence; investment in AI; automation; ENET (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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