activity
20172026
most citedOptimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary?

50 citations · 174 across the 50 of their papers we have counts for

collaborators

55 papers

eess.SY2026

Sharing the Gains of Aggregation: Cooperative Imbalance Cost Allocation

Asmus Winther Eriksen, Jalal Kazempour

A facilitator is an intermediary that offers renewable producers and consumers fixed-price contracts and, acting as their balance responsible party, manages the residual imbalances…

q-fin.CP2026

From Intraday Orderbook to Imbalance Price: Understanding Cross-Market Interaction

Runyao Yu, Jochen L. Cremer, Pierre Pinson +4

Power systems with increasing variable renewable generation face greater uncertainty in scheduling and balancing. Intraday and balancing electricity markets facilitate position adj…

cs.CE2026

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…

eess.SY2026

Refinement of Reliability Grid Codes in the Provision of Ancillary Services

Torine R. Herstad, Jalal Kazempour, Lesia Mitridati +1

Stochastic resources such as wind farms, electric vehicle aggregators, and demand-side assets are increasingly participating as reserve providers in ancillary service markets. To m…

math.OC2026

Towards European Hydrogen Market Design: Perspectives from Transmission System Operators

Marco Saretta, Enrica Raheli, Jalal Kazempour

Despite hydrogen being central to Europe's decarbonisation strategy, only a small share of renewable hydrogen projects reached final investment decision. A key barrier is uncertain…

math.OC2025

A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables

Luca Santosuosso, Simon Camal, Arthur Lett +3

This study develops a scalable co-optimization strategy for the joint bidding of cascaded hydropower, wind, and solar energy units, treated as a unified entity in the day-ahead mar…

math.OC2025

Electrolyzers Bidding in Electricity Markets under Green Hydrogen Regulations and Uncertainty

Andrea Gloppen Johnsen, Lesia Mitridati, Jalal Kazempour +1

Hydrogen produced through electrolysis offers a pathway to decarbonize hard-to-abate sectors by replacing gray hydrogen derived from natural gas reforming when produced using renew…

eess.SY2025

Day-Ahead Bidding Strategies for Wind Farm Operators under a One-Price Balancing Scheme

Max Bruninx, Timothy Verstraeten, Jalal Kazempour +1

We study day-ahead bidding strategies for wind farm operators under a one-price balancing scheme, prevalent in European electricity markets. In this setting, the profit-maximising…

cs.GT2025

Selling Information to a Competitor

Thomas Falconer, Anubhav Ratha, Jalal Kazempour +2

Selling information to a competitor can generate revenue but may also help the rival choose better actions in the market they compete in. We study this trade-off when the buyer's d…

math.OC2025

Contracting Strategies for Electrolyzers to Secure Grid Connection: The Dutch Case

Thomas Swarts, Jalal Kazempour, Wouter van den Akker +3

In response to increasing grid congestion in the Netherlands, non-firm connection and transport agreements (CTAs) and capacity restriction contracts (CRCs) have been introduced, al…

math.OC2025

Learning Prosumer Behavior in Energy Communities: Integrating Bilevel Programming and Online Learning

Bennevis Crowley, Jalal Kazempour, Lesia Mitridati +1

Dynamic pricing through bilevel programming is widely used for demand response but often assumes perfect knowledge of prosumer behavior, which is unrealistic in practical applicati…

math.OC2025★ 1 cited

Electricity Market Bidding for Renewable Electrolyzer Plants: An Opportunity Cost Approach

Andrea Gloppen Johnsen, Lesia Mitridati, Jalal Kazempour +1

Hydrogen produced through electrolysis with renewable power is considered key to decarbonize several hard-to-electrify sectors. This work proposes a novel approach to model the act…

eess.SY2024

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…

eess.SY2024

Bidding in Ancillary Service Markets: An Analytical Approach Using Extreme Value Theory

Torine Reed Herstad, Jalal Kazempour, Lesia Mitridati +1

To enable the participation of stochastic distributed energy resources in ancillary service markets, the Danish transmission system operator, Energinet, mandates that flexibility p…

eess.SY2024

Dynamic Dimensioning of Frequency Containment Reserves: The Case of the Nordic Grid

Jöbke Janssen, Alessandro Zocca, Bert Zwart +1

One of the main responsibilities of a Transmission System Operator (TSO) operating an electric grid is to maintain a designated frequency (e.g., 50 Hz in Europe). To achieve this,…

math.OC2024★ 8 cited

Hedging Hydrogen: Planning and Contracting Under Uncertainty for a Green Hydrogen Producer

Owen Palmer, Hugo Radet, Simon Camal +2

Green hydrogen production by water electrolysis using renewable electricity is considered essential for decarbonisation of certain sectors of the global economy, however developmen…

eess.SY2024

Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets

Peter A. V. Gade, Henrik W. Bindner, Jalal Kazempour

The P90 requirement of the Danish transmission system operator, Energinet, incentivizes flexible resources with stochastic power consumption/production baseline to bid in Nordic an…

eess.SY2024

Energy-Intensive Industries Providing Ancillary Services: A Real Case of Zinc Galvanizing Process

Peter A. V. Gade, Trygve Skjøtskift, Henrik W. Bindner +1

Energy-intensive industries can adapt to help balance the power grid. By using a real-world case study of a zinc galvanizing process in Denmark, we show how a modest investment in…

cs.GT2024

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm

Arega Getaneh Abate, Dorsa Majdi, Jalal Kazempour +1

It is a common practice in the current literature of electricity markets to use game-theoretic approaches for strategic price bidding. However, they generally rely on the assumptio…

eess.SY2024

Aggregator of Electric Vehicles Bidding in Nordic FCR-D Markets: A Chance-Constrained Program

Gustav A. Lunde, Emil V. Damm, Peter A. V. Gade +1

The Danish system operator, Energinet, has recently introduced an innovative grid code called the P90 requirement, which allows stochastic flexible resources to bid their flexibili…

eess.SY2023

Synergy Among Flexible Demands: Forming a Coalition to Earn More from Reserve Market

Peter A. V. Gade, Trygve Skjøtskift, Henrik Bindner +1

We address potential synergy among flexible demands and how they may earn more collectively than individually by forming a coalition and bidding to the reserve market. We consider…

eess.SY2023★ 14 cited

Flexibility of Integrated Power and Gas Systems: Gas Flow Modeling and Solution Choices Matter

Enrica Raheli, Yannick Werner, Jalal Kazempour

Due to their slow gas flow dynamics, natural gas pipelines function as short-term storage, the so-called linepack. By efficiently utilizing linepack, the natural gas system can pro…

cs.LG2023

Bayesian Regression Markets

Thomas Falconer, Jalal Kazempour, Pierre Pinson

Although machine learning tasks are highly sensitive to the quality of input data, relevant datasets can often be challenging for firms to acquire, especially when held privately b…

math.OC2023

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…