Powering Artificial Intelligence: How Artificial Intelligence’s Massive Energy Demands Are Reshaping the Future of Smart Grid

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.

Authors

Publication Details

Journal
Journal of Energy and Power Engineering
Published
2025-06-28
DOI
https://doi.org/10.17265/1934-8975/2025.03.002
Citations
1
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.73
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article

Powering Artificial Intelligence: How Artificial Intelligence’s Massive Energy Demands Are Reshaping the Future of Smart Grid

Bahman Zohuri, Farhang Mossavar-Rahmani, Mehdi Abedi‐Varaki
1 citations
Journal of Energy and Power Engineering
Energy Load and Power Forecasting
0.73
article

Powering Artificial Intelligence: How Artificial Intelligence’s Massive Energy Demands Are Reshaping the Future of Smart Grid

Bahman Zohuri, Farhang Mossavar-Rahmani, Mehdi Abedi‐Varaki
article en
1 citations

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.

Journal of Energy and Power EngineeringVol. 19(3)
Affordable and clean energy
Openalex Percentile: Top 26%
Energy Load and Power Forecasting
0.73
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