WEBINAR / EVENT
The AC Optimal Power Flow Problem - Part 2 & The All-New Power Flow OptiMod Python Optimization Use Case
Academic Webinar: The AC Optimal Power Flow Problem - Part 2
August 8 2023
WEBINAR / EVENT
The AC Optimal Power Flow Problem - Part 2 & The All-New Power Flow OptiMod Python Optimization Use Case
Academic Webinar: The AC Optimal Power Flow Problem - Part 2
August 8 2023
WEBINAR / EVENT
The AC Optimal Power Flow Problem - Part 2 & The All-New Power Flow OptiMod Python Optimization Use Case
Academic Webinar: The AC Optimal Power Flow Problem - Part 2
August 8 2023
Event Recap
In this academic webinar with Columbia University professor Dr. Daniel Bienstock, we take a deeper dive into the AC Optimal Power Flow (ACOPF) problem and affiliated open-source packages and algorithmic enhancements. He also showcases the all-new Power Flow OptiMod which is part of Gurobi’s open-source Python Repository of Optimization Use Cases.
View the presentation materials here.
If you missed Part 1 of The AC Optimal Power Flow Problem with Prof. Daniel Bienstock, you can watch a recording of that webinar here.
Event Recap
In this academic webinar with Columbia University professor Dr. Daniel Bienstock, we take a deeper dive into the AC Optimal Power Flow (ACOPF) problem and affiliated open-source packages and algorithmic enhancements. He also showcases the all-new Power Flow OptiMod which is part of Gurobi’s open-source Python Repository of Optimization Use Cases.
View the presentation materials here.
If you missed Part 1 of The AC Optimal Power Flow Problem with Prof. Daniel Bienstock, you can watch a recording of that webinar here.
Event Recap
In this academic webinar with Columbia University professor Dr. Daniel Bienstock, we take a deeper dive into the AC Optimal Power Flow (ACOPF) problem and affiliated open-source packages and algorithmic enhancements. He also showcases the all-new Power Flow OptiMod which is part of Gurobi’s open-source Python Repository of Optimization Use Cases.
View the presentation materials here.
If you missed Part 1 of The AC Optimal Power Flow Problem with Prof. Daniel Bienstock, you can watch a recording of that webinar here.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Daniel Bienstock
Professor at Columbia University
Daniel Bienstock is the Liu Family Professor of Operations Research at Columbia University, with a joint appointment in Applied Mathematics and in Electrical Engineering. His main research concerns high-performance algorithms for large-scale optimization with special focus on hard problems arising in engineering. A specific area of interest concerns operations of power grids. He is on sabbatical at Gurobi for the 2022-2023 academic year. He received the Khachiyan Prize for Optimization in 2022 and became an INFORMS Fellow in 2013.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Daniel Bienstock
Professor at Columbia University
Daniel Bienstock is the Liu Family Professor of Operations Research at Columbia University, with a joint appointment in Applied Mathematics and in Electrical Engineering. His main research concerns high-performance algorithms for large-scale optimization with special focus on hard problems arising in engineering. A specific area of interest concerns operations of power grids. He is on sabbatical at Gurobi for the 2022-2023 academic year. He received the Khachiyan Prize for Optimization in 2022 and became an INFORMS Fellow in 2013.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Professor at Columbia University
Daniel Bienstock
Daniel Bienstock is the Liu Family Professor of Operations Research at Columbia University, with a joint appointment in Applied Mathematics and in Electrical Engineering. His main research concerns high-performance algorithms for large-scale optimization with special focus on hard problems arising in engineering. A specific area of interest concerns operations of power grids. He is on sabbatical at Gurobi for the 2022-2023 academic year. He received the Khachiyan Prize for Optimization in 2022 and became an INFORMS Fellow in 2013.
