88 citations · 480 across the 47 of their papers we have counts for
11 papers · 1 filter
Scalable Iterative Algorithm for Solving Optimal Transmission Switching with De-energization
Benoît Jeanson, Mathieu Tanneau, Simon Tindemans
Transmission System Operators routinely use transmission switching as a tool to manage congestion and ensure system security. Motivated by sub-transmission operations at RTE, this…
Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
Ruiqi Zhang, Ensieh Sharifnia, Simon H. Tindemans
As a consequence of the high variability of load demand and renewable generation, long-term and high-resolution inputs are required for power system expansion planning, making the…
Extreme value distributions of peak loads for non-residential customer segments
Shaohong Shi, Eric A. Cator, Jacco Heres +1
Electrical grid congestion is a growing challenge in Europe, driving the need for accurate prediction of load, particularly of peak load. Non-time-resolved models of peak load offe…
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
Kutay Bölat, Peter Palensky, Simon Tindemans
Accurate intraday forecasts are essential for power system operations, complementing day-ahead forecasts that gradually lose relevance as new information becomes available. This pa…
Scalable quantile predictions of peak loads for non-residential customer segments
Shaohong Shi, Jacco Heres, Simon H. Tindemans
Electrical grid congestion has emerged as an immense challenge in Europe, making the forecasting of load and its associated metrics increasingly crucial. Among these metrics, peak…
Risk-based approach to the Optimal Transmission Switching problem
Benoît Jeanson, Simon H. Tindemans
This paper deals with the secure Optimal Transmission Switching (OTS) problem in situations where the TSO is forced to accept the risk that some contingencies may result in the de-…
Clustering Rooftop PV Systems via Probabilistic Embeddings
Kutay Bölat, Tarek Alskaif, Peter Palensky +1
As the number of rooftop photovoltaic (PV) installations increases, aggregators and system operators are required to monitor and analyze these systems, raising the challenge of int…
MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models
Ruiqi Zhang, Simon H. Tindemans
Multilevel Monte Carlo (MLMC) is a flexible and effective variance reduction technique for accelerating reliability assessments of complex power system. Recently, data-driven surro…
Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services
Nanda Kishor Panda, Peter Palensky, Simon H. Tindemans
Increased electrification of energy end-usage can lead to network congestion during periods of high consumption. Flexibility of loads, such as aggregate smart charging of Electric…
One Model to Forecast Them All and in Entity Distributions Bind Them
Kutay Bölat, Simon Tindemans
Probabilistic forecasting in power systems often involves multi-entity datasets like households, feeders, and wind turbines, where generating reliable entity-specific forecasts pre…
Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage
Mazen Elsaadany, Mads R. Almassalkhi, Simon H. Tindemans
To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e.…