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The steady growth of artificial intelligence (AI) has accelerated in the recent years, facilitated by the development of sophisticated models such as large language models and foundation models. Ensuring robust and reliable power…

Artificial Intelligence · Computer Science 2025-10-14 Andrea Marinoni , Sai Shivareddy , Pietro Lio' , Weisi Lin , Erik Cambria , Clare Grey

Artificial intelligence (AI) is driving unprecedented growth in data center (DC) scale and power demand. AI workloads impose highly dynamic, difficult-to-forecast power profiles on the utility grid, creating reliability and stability…

Systems and Control · Electrical Eng. & Systems 2026-05-06 Sina Mohammadi , Wayne Wang , Marcus Chen I Wada , Rouzbeh Haghighi , Ali Hassan , Hualong Liu , Archit Bhatnagar , Ang Chen , Wencong Su

As AI-driven computing infrastructures rapidly scale, discussions around data center design often emphasize energy consumption, water and electricity usage, workload scheduling, and thermal management. However, these perspectives often…

Hardware Architecture · Computer Science 2025-02-10 Yuzhuo Li , Yunwei Li

The rapid rise of generative artificial intelligence (AI) is driving unprecedented growth in global computational demand, placing increasing pressure on electricity systems. This study introduces an AI-energy coupling framework that…

Computers and Society · Computer Science 2026-04-09 Danbo Chen , Zijun Zhou , Yongyang Cai , Jiahong Qin , Ani Katchova , Lei Chen

As AI capabilities and deployment accelerate toward a post-AGI era, concerns are growing about electricity demand and carbon emissions from AI computing, yet it is rarely represented explicitly in long term energy-economy-climate scenario…

Computers and Society · Computer Science 2026-03-12 Doyi Kim , Jiseok Ahn , Haewon McJeon , Changick Kim

This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid. It argues that the intricate interplay of data availability, computing capability, and artificial intelligence (AI)…

Systems and Control · Electrical Eng. & Systems 2022-05-12 Le Xie , Xiangtian Zheng , Yannan Sun , Tong Huang , Tony Bruton

Recent research shows large-scale AI-centric data centers could experience rapid fluctuations in power demand due to varying computation loads, such as sudden spikes from inference or interruption of training large language models (LLMs).…

Signal Processing · Electrical Eng. & Systems 2025-03-12 Mariam Mughees , Yuzhuo Li , Yize Chen , Yunwei Ryan Li

Artificial intelligence (AI) is fueling exponential electricity demand growth, threatening grid reliability, raising prices for communities paying for new energy infrastructure, and stunting AI innovation as data centers wait for…

Demand for AI accelerators is rapidly increasing rack power density, with projections approaching 1MW per deployment by 2027. This poses a major challenge for datacenter power delivery designers. As power densities increase, a datacenter…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-18 Grant Wilkins , Fiodar Kazhamiaka , Alok Gautam Kumbhare , Chaojie Zhang , Ricardo Bianchini

The unprecedented rapid growth of computing demand for AI is projected to increase global annual datacenter (DC) growth from 7.2% to 11.3%. We project the 5-year AI DC demand for several power grids and assess whether they will allow…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-01 Liuzixuan Lin , Rajini Wijayawardana , Varsha Rao , Hai Nguyen , Wedan Emmanuel Gnibga , Andrew A. Chien

The integration of AI data centers into power grid represents one of the most emerging and complex challenges for the energy systems. As computational demand scales at an unprecedented rate, the traditional grid planning study's paradigm of…

Systems and Control · Electrical Eng. & Systems 2026-04-08 Yize Chen , Xiaogui Zheng

The recent growth of Artificial Intelligence (AI), particularly large language models, requires energy-demanding high-performance computing (HPC) data centers, which poses a significant burden on power system capacity. Scheduling data…

Systems and Control · Electrical Eng. & Systems 2024-12-17 Yihong Zhou , Angel Paredes , Chaimaa Essayeh , Thomas Morstyn

For over a century, the electric grid has relied on a single statistical assumption: \emph{load diversity}, the principle that the uncorrelated demands of millions of small consumers produce a smooth, predictable aggregate. AI training data…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-06 Noman Bashir , Rob Sherwood , Le Xie , Minlan Yu

The rapid expansion of artificial intelligence has significantly increased the electricity, water, and carbon demands of modern data centers, raising sustainability concerns. This study evaluates the environmental footprint of AI server…

Computers and Society · Computer Science 2026-01-13 Aadi Patel , Nikhil Mahalingam , Rusheen Patel

Recent breakthroughs of large language models (LLMs) have exhibited superior capability across major industries and stimulated multi-hundred-billion-dollar investment in AI-centric data centers in the next 3-5 years. This, in turn, bring…

Hardware Architecture · Computer Science 2024-09-19 Yuzhuo Li , Mariam Mughees , Yize Chen , Yunwei Ryan Li

With the rise of AI in recent years and the increase in complexity of the models, the growing demand in computational resources is starting to pose a significant challenge. The need for higher compute power is being met with increasingly…

Energy management decreases energy expenditures and consumption while simultaneously increasing energy efficiency, reducing carbon emissions, and enhancing operational performance. Smart grids are a type of sophisticated energy…

Thanks to the availability of massive amounts of data, computing resources, and advanced algorithms, AI has entered nearly every sector. This has sparked significant investment and interest, particularly in building data centers with the…

Artificial Intelligence · Computer Science 2025-11-25 Pandu Devarakota , Nicolas Tsesmetzis , Faruk O. Alpak , Apurva Gala , Detlef Hohl

This review comprehensively examines the integration of artificial intelligence (AI) in enhancing the dynamic security assessments of modern power systems. It highlights the pivotal role of AI in facilitating scenario generation, incident…

Systems and Control · Electrical Eng. & Systems 2024-08-20 Runhao Zhang

Reduced environmental effect, lower operating costs, and a stable and sustainable energy supply for current and future generations are the main reasons why power optimization is important. Power optimization makes ensuring that energy is…

Artificial Intelligence · Computer Science 2024-06-25 Parag Biswas , Abdur Rashid , Angona Biswas , Md Abdullah Al Nasim , Kishor Datta Gupta , Roy George
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