Artificial Intelligence and the Energy Dilemma: Challenges and Opportunities for Electrical Engineers
This article investigates the growing intersection between artificial intelligence (AI) and energy consumption, highlighting the dual role of AI as both a tool for energy optimization and a significant source of energy demand. With the expansion of machine learning, data centers, and edge computing, the environmental impact of AI is becoming a critical issue. At the same time, AI technologies are proving essential in creating smarter, more efficient energy systems. The paper outlines current challenges, emerging hardware and algorithmic solutions, and the vital contribution of electrical engineers in building a sustainable technological future. It offers a technical yet accessible overview designed for engineers, students, researchers, and technology professionals engaged in energy and AI innovation.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-04
- DOI
- https://doi.org/10.5281/zenodo.17055260
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00