Demand response contribution to effective inertia for system security in the GB 2020 gone green scenario. - Vincenzo Trovato; Simon H. Tindemans; Goran Strbac (ISGT Europe, 2013)

Decentralized Control of Thermostatic Loads for Flexible Demand Response. - Simon H. Tindemans; Vincenzo Trovato; Goran Strbac (IEEE Trans. Control. Syst. Technol., 2015)

Evaluating composite approaches to modelling high-dimensional stochastic variables in power systems. - Mingyang Sun; Ioannis Konstantelos; Simon H. Tindemans; Goran Strbac (PSCC, 2016)

An implicit switching model for distribution network reliability assessment. - Yang Yang; Simon H. Tindemans; Goran Strbac (PSCC, 2016)

Robustly Maximal Utilisation of Energy-Constrained Distributed Resources. - Michael P. Evans; Simon H. Tindemans; David Angeli (CoRR, 2017)

Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids. - Ioannis Konstantelos; Geoffroy Jamgotchian; Simon H. Tindemans; Philippe Duchesne; Stijn Cole; Christian Merckx; Goran Strbac; Patrick Panciatici (IEEE Trans. Smart Grid, 2017)

Sample-Derived Disjunctive Rules for Secure Power System Operation. - Jochen L. Cremer; Ioannis Konstantelos; Simon H. Tindemans; Goran Strbac (CoRR, 2018)

Minimising Unserved Energy Using Heterogeneous Storage Units. - Michael P. Evans; Simon H. Tindemans; David Angeli (CoRR, 2018)

Capacity Value of Interconnection Between Two Systems. - Simon H. Tindemans; Matthew Woolf; Goran Strbac (CoRR, 2018)

Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. - Michael P. Evans; David Angeli; Goran Strbac; Simon H. Tindemans (ISGT Europe, 2019)

Low-complexity control algorithm for decentralised demand response using thermostatic loads. - Simon H. Tindemans; Goran Strbac (CoRR, 2019)

Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach. - Simon H. Tindemans; Goran Strbac (CoRR, 2019)

Assessing Energy Storage Requirements Based on Accepted Risks. - Michael P. Evans; Simon H. Tindemans (ISGT-Europe, 2020)

Training Strategies for Autoencoder-based Detection of False Data Injection Attacks. - Chenguang Wang 006; Kaikai Pan; Simon H. Tindemans; Peter Palensky (ISGT-Europe, 2020)

Detection of False Data Injection Attacks Using the Autoencoder Approach. - Chenguang Wang 006; Simon H. Tindemans; Kaikai Pan; Peter Palensky (CoRR, 2020)

Distributed Coordination of Deferrable Loads: A Real-time Market with Self-fulfilling Forecasts. - Hazem A. Abdelghany; Simon H. Tindemans; Mathijs Michiel de Weerdt; Han La Poutré (CoRR, 2020)

Low-complexity decentralized algorithm for aggregate load control of thermostatic loads. - Simon H. Tindemans; Goran Strbac (CoRR, 2020)

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach. - Medha Subramanian; Jan Viebahn; Simon H. Tindemans; Benjamin Donnot; Antoine Marot (CoRR, 2020)

Coordination of Heterogeneous Deferrable Loads using the F-MBC Mechanism. - Subhitcha Ramkumar; Hazem A. Abdelghany; Simon H. Tindemans (CoRR, 2020)

Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method. - Julian N. Betge; Barbera Droste; Jacco Heres; Simon H. Tindemans (CoRR, 2020)

A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources. - Michael P. Evans; Simon H. Tindemans; David Angeli (IEEE Trans. Smart Grid, 2020)

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. - Qisong Yang; Thiago D. Simão; Simon H. Tindemans; Matthijs T. J. Spaan (AAAI, 2021)

Generating Multivariate Load States Using a Conditional Variational Autoencoder. - Chenguang Wang 006; Ensieh Sharifnia; Zhi Gao; Simon H. Tindemans; Peter Palensky (CoRR, 2021)

Generating Contextual Load Profiles Using a Conditional Variational Autoencoder. - Chenguang Wang 006; Simon H. Tindemans; Peter Palensky (ISGT-Europe, 2022)

Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment. - Ensieh Sharifnia; Simon H. Tindemans (CoRR, 2022)

Flexibility Framework With Recovery Guarantees for Aggregated Energy Storage Devices. - Michael P. Evans; Simon H. Tindemans; David Angeli (IEEE Trans. Smart Grid, 2022)

Mean Field Game for Strategic Bidding of Energy Consumers in Congested Distribution Networks. - Amirreza Silani; Simon H. Tindemans (CDC, 2023)

Reinforcement Learning by Guided Safe Exploration. - Qisong Yang; Thiago D. Simão; Nils Jansen 001; Simon H. Tindemans; Matthijs T. J. Spaan (ECAI, 2023)

Residential demand-side flexibility provision under a multi-level segmented tariff. - Na Li; Kenneth Bruninx; Simon H. Tindemans (ISGT EUROPE, 2023)

Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder. - Chenguang Wang 006; Ensieh Sharifnia; Simon H. Tindemans; Peter Palensky (CoRR, 2023)

Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles. - Nanda Kishor Panda; Simon H. Tindemans (CoRR, 2023)

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective. - Kutay Bölat; Simon H. Tindemans; Peter Palensky (CoRR, 2023)

Representative Days and Hours with Piecewise Linear Transitions for Power System Planning. - Mojtaba Moradi-Sepahvand; Simon H. Tindemans (CoRR, 2023)

Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems. - Mojtaba Moradi-Sepahvand; Simon H. Tindemans (CoRR, 2023)

Safety-constrained reinforcement learning with a distributional safety critic. - Qisong Yang; Thiago D. Simão; Simon H. Tindemans; Matthijs T. J. Spaan (Mach. Learn., 2023)

Mean-Field Stackelberg Game for Mitigating the Strategic Bidding of Energy Consumers in Congested Distribution Networks. - Amirreza Silani; Simon H. Tindemans (CDC, 2024)

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks. - Amirreza Silani; Simon H. Tindemans (CoRR, 2024)

Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs. - Nanda Kishor Panda; Na Li; Simon H. Tindemans (CoRR, 2024)

Quantifying the Aggregate Flexibility of EV Charging Stations for Dependable Congestion Management Products: A Dutch Case Study. - Nanda Kishor Panda; Simon H. Tindemans (CoRR, 2024)

GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries. - Kutay Bölat; Simon H. Tindemans (CoRR, 2024)

Improved Anomaly Detection and Localization Using Whitening-Enhanced Autoencoders. - Chenguang Wang 006; Simon H. Tindemans; Peter Palensky (IEEE Trans. Ind. Informatics, 2024)

EnergySHR: A platform for energy dataset sharing and communications. - Zaman Ziabakhshganji; Mathijs de Weerdt; Sreeparna Deb; Caroline Duterloo; Yashar Ghiassi-Farrokhfal; Doron Gollnast; Jhon Jairo Quinones-Cortes; Alicia Julia Wilson Takaoka; Farshad Radman; Simon H. Tindemans; Jos van Dongen (e-Energy, 2025)

Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage. - Mazen Elsaadany; Mads R. Almassalkhi; Simon H. Tindemans (IEEE Control. Syst. Lett., 2025)

Linear Model of Aggregated Homogeneous Energy Storage Elements with Realizable Dispatch Guarantees. - Mazen Elsaadany; Mads R. Almassalkhi; Simon H. Tindemans (CoRR, 2025)

One Model to Forecast Them All and in Entity Distributions Bind Them. - Kutay Bölat; Simon H. Tindemans (CoRR, 2025)

Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services. - Nanda Kishor Panda; Peter Palensky; Simon H. Tindemans (CoRR, 2025)

Clustering Rooftop PV Systems via Probabilistic Embeddings. - Kutay Bölat; Tarek AlSkaif; Peter Palensky; Simon H. Tindemans (CoRR, 2025)

Risk-based approach to the Optimal Transmission Switching problem. - Benoît Jeanson; Simon H. Tindemans (CoRR, 2025)

Scalable quantile predictions of peak loads for non-residential customer segments. - Shaohong Shi; Jacco Heres; Simon H. Tindemans (CoRR, 2025)

MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models. - Ruiqi Zhang; Simon H. Tindemans (CoRR, 2025)