Energy Systems Division
Carbon Capture and Co-Pollutants Under Prospective US Policies
Presented by the IISE Energy Systems Division
Speaker: Dr. Erin Baker
Wednesday, March 25, 2026
We use an Optimal Power Flow model to examine how prospective US climate and energy policies policy may influence investment decisions, co-pollutant emissions, and the spatial distribution of health damages in a networked power system when Carbon Capture is available.
This is the first analysis to evaluate Carbon Capture-related co-pollution under specific U.S. policy instruments using a model that incorporates power system scheduling, transmission constraints, and network effects.
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Tight Linear Relaxations for the ACOPF Problem
Presented by the IISE Energy Systems Division
Speaker: Dr. Daniel Bienstock
Wednesday, February 27, 2026
The ACOPF (or, Alternating Current Optimal Power Flow) problem concerns the operation of power grids so as to deliver energy from generators to loads at minimum cost, while obeying nonlinear and nonconvex laws of physics.
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Can AI actually help the power grid rather than hurt it?
Presented by the IISE Energy Systems Division
Speaker: Dr. Kyri Baker
Wednesday, January 28, 2026
This talk discusses the development of artificial intelligence (AI) models that can help solve OPF problems rapidly, to move past the approximations that are currently used to dispatch generators and assist grid operators in diagnosing and operating issues in the grid more effectively.
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Smart Operation of Battery Energy Storage Systems in the Evolving Power System
Presented by the IISE Energy Systems Division
Speaker: Dr. Hamid Nazaripouya
Friday, April 25, 2025
This webinar explores cutting-edge technologies for real-time BESS control and operation, addressing complex challenges in modern distribution systems.
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Operations & Maintenance (O&M) for Offshore Wind Energy: Opportunities and Challenges
Presented by the IISE Energy Systems Division
Speakers: Dr. Shawn Sheng, Noah Myrent, and Jade Mcmorland
Wednesday, March 27, 2025
Offshore wind energy is poised to play a major role in the transition toward a more sustainable energy landscape. However, fully unlocking the potential of offshore wind energy entails addressing unique operations and maintenance (O&M) challenges including a harsh and dynamic marine environment, special logistical requirements,
and complex reliability considerations. This panel will dive into the research challenges and opportunities of O&M in offshore wind energy through the perspectives of three O&M experts.
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Machine Learning For End-To-End Power Systems Operations
Presented by the IISE Energy Systems Division
February. 21, 2025
Presenter: Pascal Van Hentenryck
This talk reviews progress in machine learning for power systems. In particular, it focuses on optimization proxies for market-clearing algorithms, including unit commitment, reliability commitment, economic dispatch, and end-to-end risk management. The talk will cover both novel methodology developments, as well as their applications to large-scale power systems. It will also review future research in this topic.
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Data Science for Wind Energy
Presented by the IISE Energy Systems (ES) Division
December 9, 2024
Presenter: Dr. Yu Ding
Wind energy is one of the fastest-growing clean energy sources. Despite the significant growth in the past two decades, wind energy missed some intermediate goals set forth earlier. In his book, Data Science for Wind Energy, Dr. Yu Ding demonstrates how statistical and machine learning methods can help address research needs in wind energy applications.
Dr. Ding will discuss some challenges encountered in wind applications and present use cases in which statistical/machine learning models and solutions make sensible impacts.
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Incentive and Social Welfare Implications of Carbon Capture and Storage Policies
A Webinar presented by the IISE Energy Systems Division
March 2, 2024
Presenter: Joseph E. Duggan, Dr. Jonathan Ogland-Hand
Carbon Capture and Storage (CCS) is increasingly being seen as a powerful tool in decarbonizing the power sector and ameliorating the effects of climate change. We examine a stylized model of carbon capture and storage given different regulatory and market structure regimes to examine the incentive effects and social welfare implications of proposed regulatory frameworks.
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