activity
20192026
most citedThe Value of Ancillary Services for Electrolyzers

5 citations · 15 across the 15 of their papers we have counts for

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12 papers · 1 filter

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…

eess.SY2026

Truthful Production Uncertainty in Electricity Markets: A Two-Stage Mechanism

Shobhit Singhal, Lesia Mitridati, Licio Romao

Renewable power sources have low production costs, but may result in high balancing costs due to the inherent production uncertainty. Current day-ahead markets elicit only point pr…

eess.SY2025

Simplifying Preference Elicitation in Local Energy Markets: Combinatorial Clock Exchange

Shobhit Singhal, Lesia Mitridati

As distributed energy resources (DERs) proliferate, future power system will need new market platforms enabling prosumers to trade various electricity and grid-support products. Ho…

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.SY2023★ 1 cited

Feature-Driven Strategies for Trading Wind Power and Hydrogen

Emil Helgren, Jalal Kazempour, Lesia Mitridati

This paper develops a feature-driven model for hybrid power plants, enabling them to exploit available contextual information such as historical forecasts of wind power, and make o…

eess.SY2023

Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks

Matthias Franke, Ognjen Stanojev, Lesia Mitridati +1

Amidst the worldwide efforts to decarbonize power networks, Local Electricity Markets (LEMs) in distribution networks are gaining importance due to the increased adoption of renewa…

eess.SY2023

Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets

Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata +1

This paper presents a novel safe reinforcement learning algorithm for strategic bidding of Virtual Power Plants (VPPs) in day-ahead electricity markets. The proposed algorithm util…

eess.SY2023★ 1 cited

Fair Energy Allocation in Risk-aware Energy Communities

Eleni Stai, Lesia Mitridati, Ioannis Stavrakakis +3

This work introduces a decentralized mechanism for the fair and efficient allocation of limited renewable energy sources among consumers in an energy community. In the proposed non…

eess.SY2022

Differentially-Private Heat and Electricity Markets Coordination

Lesia Mitridati, Emma Romei, Gabriela Hug +1

Sector coordination between heat and electricity systems has been identified has an energy-efficient and cost-effective way to transition towards a more sustainable energy system.…

eess.SY2022★ 1 cited

Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids

Eleni Stai, Evangelia Kokolaki, Lesia Mitridati +3

This work studies the decentralized and uncoordinated energy source selection problem for smart-grid consumers with heterogeneous energy profiles and risk attitudes: they compete f…

eess.SY2020★ 1 cited

Electricity-Aware Bid Format for Coordinated Heat and Electricity Market Clearing

Lesia Mitridati, Jalal Kazempour, Pascal Van Hentenryck

Coordination between heat and electricity markets is essential to achieve a cost-effective and efficient operation of the energy system. In the current sequential market practice,…

eess.SY2019★ 3 cited

A Bid-Validity Mechanism for Sequential Heat and Electricity Market Clearing

Lesia Mitridati, Pascal Van Hentenryck, jalal Kazempour

Coordinating the operation of units at the interface between heat and electricity systems, such as combined heat and power plants and heat pumps, is essential to reduce inefficienc…