WEBINAR / EVENT
The AC Optimal Power Flow Problem
Academic Webinar: The AC Optimal Power Flow Problem
May 4 2023
WEBINAR / EVENT
The AC Optimal Power Flow Problem
Academic Webinar: The AC Optimal Power Flow Problem
May 4 2023
WEBINAR / EVENT
The AC Optimal Power Flow Problem
Academic Webinar: The AC Optimal Power Flow Problem
May 4 2023
Event Recap
In this webinar with Dr. Daniel Bienstock, a professor at Columbia University, he shares the AC Optimal Power Flow Problem and affiliated open-source packages and algorithmic enhancements.
Abstract: Power grids are rapidly evolving in response to the ramp up in renewables and consumer-based generation and response mechanisms. Join us for this webinar, where we describe the state-of-the art in the ACOPF problem, the core technical computation in the management of power grids.
Presented Materials:
Download the presentation slides, here.
Event Recap
In this webinar with Dr. Daniel Bienstock, a professor at Columbia University, he shares the AC Optimal Power Flow Problem and affiliated open-source packages and algorithmic enhancements.
Abstract: Power grids are rapidly evolving in response to the ramp up in renewables and consumer-based generation and response mechanisms. Join us for this webinar, where we describe the state-of-the art in the ACOPF problem, the core technical computation in the management of power grids.
Presented Materials:
Download the presentation slides, here.
Event Recap
In this webinar with Dr. Daniel Bienstock, a professor at Columbia University, he shares the AC Optimal Power Flow Problem and affiliated open-source packages and algorithmic enhancements.
Abstract: Power grids are rapidly evolving in response to the ramp up in renewables and consumer-based generation and response mechanisms. Join us for this webinar, where we describe the state-of-the art in the ACOPF problem, the core technical computation in the management of power grids.
Presented Materials:
Download the presentation slides, 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.
