Simon Tindemans

About Simon Tindemans

Simon Tindemans, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of power systems, machine learning, risk analysis, decision-making under uncertainty.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantifying the Aggregate Flexibility of EV Charging Stations for Dependable Congestion Management Products: A Dutch Case Study

Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks

Risk vs. restriction—An investigation of capacity-limitation based congestion management in electric distribution grids

Congestion management in electricity distribution networks: Smart tariffs, local markets and direct control

Improved Anomaly Detection and Localization Using Whitening-Enhanced Autoencoders

Residential demand-side flexibility provision under a multi-level segmented tariff

Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder

Simon Tindemans Information

University

Position

___

Citations(all)

1842

Citations(since 2020)

1291

Cited By

997

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Simon Tindemans Skills & Research Interests

power systems

machine learning

risk analysis

decision-making under uncertainty

Top articles of Simon Tindemans

Title

Journal

Author(s)

Publication Date

Quantifying the Aggregate Flexibility of EV Charging Stations for Dependable Congestion Management Products: A Dutch Case Study

arXiv preprint arXiv:2403.13367

Nanda Kishor Panda

Simon H Tindemans

2024/3/20

Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs

arXiv preprint arXiv:2403.12215

Nanda Kishor Panda

Na Li

Simon H Tindemans

2024/3/18

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks

arXiv preprint arXiv:2403.11836

Amirreza Silani

Simon H Tindemans

2024/3/18

Risk vs. restriction—An investigation of capacity-limitation based congestion management in electric distribution grids

Energy Policy

Roman J Hennig

Laurens J de Vries

Simon H Tindemans

2024/3/1

Congestion management in electricity distribution networks: Smart tariffs, local markets and direct control

Utilities Policy

Roman J Hennig

Laurens J de Vries

Simon H Tindemans

2023/12/1

Improved Anomaly Detection and Localization Using Whitening-Enhanced Autoencoders

IEEE Transactions on Industrial Informatics

Chenguang Wang

Simon H Tindemans

Peter Palensky

2023/4/20

Residential demand-side flexibility provision under a multi-level segmented tariff

Na Li

Kenneth Bruninx

Simon Tindemans

2023/10/23

Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder

arXiv preprint arXiv:2303.11410

Chenguang Wang

Ensieh Sharifnia

Simon H Tindemans

Peter Palensky

2023/3/20

Representative Days and Hours with Piecewise Linear Transitions for Power System Planning

arXiv preprint arXiv:2310.04239

Mojtaba Moradi-Sepahvand

Simon H Tindemans

2023/10/6

Safety-constrained reinforcement learning with a distributional safety critic

Machine Learning

Qisong Yang

Thiago D Simão

Simon H Tindemans

Matthijs TJ Spaan

2023/3

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective

arXiv preprint arXiv:2310.03556

Kutay Bölat

Simon H Tindemans

Peter Palensky

2023/10/5

Supervised learning for fault classification using hybrid training datasets

Archana Ranganathan

Simon H Tindemans

Frans Provoost

2023/1/1

Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles

arXiv preprint arXiv:2310.02729

Nanda Kishor Panda

Simon H Tindemans

2023/10/4

Mean Field Game for Strategic Bidding of Energy Consumers in Congested Distribution Networks

Amirreza Silani

Simon H Tindemans

2023/12/13

Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems

M Moradi-Sepahvand

Simon H Tindemans

2023

Reinforcement Learning by Guided Safe Exploration

ECAI 2023

Qisong Yang

Thiago D Simão

Nils Jansen

Simon H Tindemans

Matthijs TJ Spaan

2023/7/26

Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment

Ensieh Sharifnia

Simon H Tindemans

2022/6/12

Generating multivariate load states using a conditional variational autoencoder

Electric Power Systems Research

Chenguang Wang

Ensieh Sharifnia

Zhi Gao

Simon H Tindemans

Peter Palensky

2022/12/1

Potential and challenges of AI-powered decision support for short-term system operations

Jan Viebahn

Matija Naglic

Antoine Marot

Benjamin Donnot

Simon H Tindemans

2022

Flexibility Framework With Recovery Guarantees for Aggregated Energy Storage Devices

IEEE Transactions on Smart Grid

Michael P Evans

Simon H Tindemans

David Angeli

2022/5/10

See List of Professors in Simon Tindemans University(Technische Universiteit Delft)

Co-Authors

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