Author

Wen-Cong Su

3 papers indexed here

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Preprint Aug 2026

A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth

Artificial intelligence (AI) data centers are driving rapid electricity load growth across all U.S. ISO/RTO regions, raising both system costs and carbon exposure. This study develops a three-level Stackelberg--Bayesian game in which a regulator (leader) sets carbon penalties and subsidies, a single ISO capacity market...

Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi et al. · 0 citations

Review

Advances in Applied Energy

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.

Sina Mohammadi, W. Wang, Marcus Chen et al. · 0 citations

Review Open access Aug 2026

Critical Review of Artificial Intelligence and Machine Learning Methods for Data-Center Load Forecasting

The reviewed studies indicate that advanced approaches, including long short-term memory (LSTM), gated recurrent unit (GRU), transformer-based models, and digital twin (DT) frameworks, can improve forecasting performance and support more energy-efficient operation.

Shivanshu Shekhar, Shivanshu Tripathi, Gajendra Singh Chawda et al. · Energies · 0 citations