Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition
Review

Advances in Applied Energy

Sina Mohammadi W. Wang Marcus Chen I. Wada Rouzbeh Haghighi Ali Hassan Hua-Long Liu Archit Bhatnagar Ang-Tung Chen Wen-Cong Su
· 0 citations · 150 references

TL;DR

A critical review of energy storage systems (ESSs) as the key enabling technology for reliable grid integration of AI DCs and identifies open research challenges and future directions at the intersection of AI computing infrastructure and power system integration.

Semantic Scholar
View source

Similar papers

Review Sep 2026

From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers

The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy availability and grid-connection capacity, which is further aggravated by the ability of power-delivery architectures, control systems, and co...

Yu-Bo Song, Rui Kong, Takuro Umihara et al. · 0 citations
Sep 2026

Powering Hyperscale AI Data Centers with Off-Grid Solar, Battery, and Hydrogen

Artificial intelligence (AI) data centers are emerging as a major source of electricity demand, driving interest in renewable-powered and off-grid energy systems as grid interconnection delays, generator shortages, and infrastructure constraints complicate high load factor operation. In this Perspective, we model a 1...

Anil S. Bika, Brian P. Setzler, Paul F. Browning et al. · 1 citation
Preprint Aug 2026

Nuclear fusion for AI: A pathway to power data centers sustainably

This perspective examines whether nuclear fusion can provide a scalable, low-carbon power source for rapidly growing AI-driven data center demand. As large language models, cloud computing, and cryptocurrency mining accelerate electricity consumption growth, data centers are projected to account for a substantially lar...

Layla S. Araiinejad, V. Nair · 0 citations
Review Open access 2026

State-of-the-Art Power Electronics in AI Data Centers

The rapid scaling of artificial intelligence (AI) workloads is driving a fundamental redesign of the data center power-delivery chain, from the utility grid to the processor die. This review paper presents a stage-by-stage technical benchmarking of state-of-the-art power electronics across the four key conversion stage...

S. Elangovan, Yi-Chia Chiu, T. Rawat et al. · 0 citations
Open access Sep 2026

Sustainable Grid Integration of AI Data Centers: Carbon-Aware Co-Optimization of Training Workloads and Battery Storage Under Renewable Uncertainty

A carbon-aware co-optimization framework that schedules checkpoint intervals, workload migration, dynamic voltage and frequency scaling, and behind-the-meter storage jointly with unit commitment, pricing system CO2 emissions beyond the market-internalized level, with split-conformal scenario bands and an out-of-sample...

Jun-Qing Zhang, Yi Wang · 0 citations
Open access Sep 2026

Design of Efficient Energy Storage System to Integrate Renewable Energy Source to Support in Grid

The trend toward green energy systems requires the integration of renewable energy (RE) into modern power grids; however, their intermittency and unpredictability pose significant challenges to reliability. An efficient energy storage system (ESS) provides a viable solution via storage excess energy when production is...

M. Bharathidasan, J. Jalendiran, G. Elango et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.