6 papers
When and How Should a Power Trader Engage in Arbitrage? Predict, then Contextually Optimize
Yannick Heiser, Jalal Kazempour, Farzaneh Pourahmadi
Electricity markets increasingly expose stochastic energy generators to arbitrage opportunities between the day-ahead and balancing markets, driven by widening price spreads. Howev…
Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning
Victor Schmitt, Farzaneh Pourahmadi, Angela Flores-Quiroz +2
Transmission expansion planning (TEP) plays a critical role in ensuring power system reliability and facilitating the integration of renewable energy resources. However, this proce…
Synergies between AI Computing and Power Systems: Metrics, Scheduling, and Resilience
Farzaneh Pourahmadi, Olivier Corradi, Pierre Pinson
In this paper, we first clarify the concepts of green AI versus frugal AI, positioning frugality as efficiency by design and green AI as transparency and accountability. We then ar…
Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen
Yannick Heiser, Farzaneh Pourahmadi, Jalal Kazempour
We develop a bidding strategy for a hybrid power plant combining co-located wind turbines and an electrolyzer, constructing a price-quantity bidding curve for the day-ahead electri…
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
Farzaneh Pourahmadi, Jalal Kazempour
The system operators usually need to solve large-scale unit commitment problems within limited time frame for computation. This paper provides a pragmatic solution, showing how by…
Approximate dynamic programming for profit estimation of connected hydro reservoirs
Farzaneh Pourahmadi, Trine Krogh Boomsma
In this paper, we study the operational problem of connected hydro power reservoirs which involves sequential decision-making in an uncertain and dynamic environment. The problem i…