activity
20232026
most citedOn the Selection of Intermediate Length Representative Periods for Capacity Expansion

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits

Ali Jahanshahi, Sara Rashidi Golrouye, Osten Anderson +2

The rapid growth of AI/ML data centers has led to higher energy consumption and carbon emissions. The shift to renewable energy and growing data center energy demands can destabili…

eess.SY2024

Impact of Flexible and Bidirectional Charging in Medium- and Heavy-Duty Trucks on California's Decarbonization Pathway

Osten Anderson, Wanshi Hong, Bin Wang +1

California has committed to ambitious decarbonization targets across multiple sectors, including decarbonizing the electrical grid by 2045. In addition, the medium- and heavy-duty…

eess.SY2024★ 1 cited

On the Selection of Intermediate Length Representative Periods for Capacity Expansion

Osten Anderson, Nanpeng Yu, Konstantinos Oikonomou +1

As the decarbonization of power systems accelerates, there has been increasing interest in capacity expansion models for their role in guiding this transition. Representative perio…

eess.SY2023

Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning

Jingtao Qin, Nanpeng Yu

Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks…

eess.SY2023★ 1 cited

Optimizing Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation

Osten Anderson, Nanpeng Yu, Mikhail Bragin

With California's ambitious goal to achieve decarbonization of the electrical grid by the year 2045, significant challenges arise in power system investment planning. Existing mode…