79 citations · 81 across the 7 of their papers we have counts for
6 papers · 1 filter
Robust Dynamic Operating Envelopes in Unbalanced Three-Phase Distribution Systems
Wilhiam de Carvalho, Florin Capitanescu, Cyril Rasic +2
This paper proposes a robust optimization formulation to calculate dynamic operating envelopes (DOEs) to safely operate unbalanced three-phase distribution systems. Unlike conventi…
Allocation of Dynamic Operating Envelopes in Radial Distribution Networks
Wilhiam de Carvalho, Florin Capitanescu, Cyril Rasic +2
This paper provides an in-depth analysis on how different aspects of the dynamic operating envelope (DOE) formulation impact the computation and allocation of network capacity. We…
Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
Pietro Favaro, Jean-François Toubeau, François Vallée +1
Heating, Ventilation, and Air Conditioning (HVAC) is a major electricity end-use with a substantial potential for providing grid services, such as demand response. Harnessing this…
Decision-Focused Learning for Complex System Identification: HVAC Management System Application
Pietro Favaro, Jean-François Toubeau, François Vallée +1
As opposed to conventional training methods tailored to minimize a given statistical metric or task-agnostic loss (e.g., mean squared error), Decision-Focused Learning (DFL) trains…
Machine Learning for Improved Gas Network Models in Coordinated Energy Systems
Adriano Arrigo, Mihály Dolányi, Kenneth Bruninx +1
The current energy transition promotes the convergence of operation between the power and natural gas systems. In that direction, it becomes paramount to improve the modeling of no…
A New Cooperative Framework for a Fair and Cost-Optimal Allocation of Resources within a Low Voltage Electricity Community
Martin Hupez, Jean-François Toubeau, Zacharie De Grève +1
This paper presents an original collaborative framework for power exchanges inside a low voltage community. The community seeks to minimize its total costs by scheduling on a daily…