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Article
Affiliation(s)

1. Ageno School of Business, Golden Gate University, San Francisco 94105, California, USA
2. Finance School of Business Technology and Engineering, National University, San Diego 92110, California, USA
3. FTMC-Center for Physical Sciences and Technology, Savanoriu Ave. 231, LT-02300 Vilnius, Lithuania

ABSTRACT

The rapid evolution and expanding scale of AI (artificial intelligence) technologies exert unprecedented energy demands on global electrical grids. Powering computationally intensive tasks such as large-scale AI model training and widespread real-time inference necessitates substantial electricity consumption, presenting a significant challenge to conventional power infrastructure. This paper examines the critical need for a fundamental shift towards smart energy grids in response to AI’s growing energy footprint. It delves into the symbiotic relationship wherein AI acts as a significant energy consumer while offering the intelligence required for dynamic load management, efficient integration of renewable energy sources, and optimized grid operations. We posit that advanced smart grids are indispensable for facilitating AI’s sustainable growth, underscoring this synergy as a pivotal advancement toward a resilient energy future.

KEYWORDS

AI, smart grid, energy demand, data centers, load balancing, renewable integration, grid modernization, deep learning power consumption, real-time monitoring, AI in energy systems.

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