Are you enthusiastic about the synergy of operational efficiency and cutting-edge solutions? Join us for an insightful evening as we delve into the intersection of Mathematical Optimization and AI, unraveling the untapped potential that lies at the crossroads of innovation.
Tuesday, 29 April, 2025
15:00 pm to 19:30 pm
Tivoli Congress Center
Arni Magnussons Gade 2
1577 Copenhagen, Denmark
Here’s a preview of what we were planning.
Agenda:
15:00
Arrival & Registration
15:30
Welcome Remarks
Christopher Smith
Account Director, Nordics & Benelux, Gurobi Optimization
15:45
Long-term forecasting of EU energy prices: industry methodologies and optimization techniques
As energy prices in the EU have seen increasing volatility in the last decade, long-term forecasting has become increasingly important for better planning of energy projects.
In this session, Ramboll will introduce the foundations behind the price formation methodology, industry's practices for constructing supply and demand curves, and the optimisation techniques used to determine prices over long horizons. Additionally, they will discuss how to extract insights for strategic decision-making in the energy sector.
Dr. Enrica Raheli, Energy System Analyst, Ramboll
Marco Saretta, Industrial PhD Student, Ramboll
16:15
Tuning Gurobi for Real-World Impact: Heuristics-Powered Optimization
Finding high-quality feasible solutions quickly is a key challenge in real-world optimization applications. Gurobi is equipped with a rich set of heuristics that enable rapid solution generation and improvement to strike the balance between time-to-good-solutions and proof-of-quality. This talk will explore heuristics as an integral part of Gurobi's solving strategy and demonstrate how certain non-default settings can drastically reduce the time-to-first-solution on certain models. Join us to discover how Gurobi makes advanced mathematical optimization a practical and effective tool for real-world decision-making.
Lennart Lahrs
Technical Account Manager, Gurobi Optimization
16:45
You Shall Not Pass - Minimizing false-positive ensemble classification through threshold optimization
As a bank, we handle millions of transactions a day. Almost all of these (>99.99%) are completely fine and legitimate transactions. However, every once in a while a sanctioned entity is either trying to send or receive money with a payment we process. We want, and are legally required, to stop such payments. Due to the high volume of transactions a day, algorithms play a crucial role in flagging potentially suspicious payments. If any of these algorithms judge there to be a match to a sanctioned entry, the payment is investigated manually.
This poses a challenge though: the number of true positives is very low, so even the best algorithms will mostly flag false positives (>95%). This means almost all of the payments an analyst goes through are fine, they just have an unlucky similarity to a sanctioned entity. To reduce this issue, the algorithmic thresholds have to be as tight as possible, while still finding all the true positives.
In our presentation, we will show how this problem can be posed as a mixed-integer programming problem and the results it yields. We also discuss how to extend the formulation to allow for a risk-based approach, where a certain number of misses of true positives are allowed, in order to further reduce the number of false positives. This results in a fascinating pareto front, which is used as a basis of discussion around the price of catching all true positives.
Richard Oberdieck,
Lead Data Scientist, Banking Circle
17:15
Closing Remarks and Q&A
Christopher Smith,
Account Director, Nordics & Benelux, Gurobi Optimization
17:30
Networking Reception
19:30
End of Event
If you have questions, please contact Despina Jegeni at despina.jegeni@gurobi.com.
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