Imperial College London

DrSimonTindemans

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow
 
 
 
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Contact

 

s.tindemans

 
 
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Location

 

1108GElectrical EngineeringSouth Kensington Campus

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Summary

 

Summary

I am a Research Fellow working on statistical learning and control for electricity grids. My research focuses on the development of analytical and computational methods for reliability analysis (including Monte Carlo sampling methods, learning of proxy models, quantification of uncertainty) and the decentralised control of smart appliances using mean field approaches.

As a PostDoc Rep for the Department of Electrical and Electronic Engineering, I support the Department's postdocs and fellows, by organising social events and workshops, and exchanging information with other postdoc reps in the College.

Teaching

I am a lecturer on Smart Grid Technologies (EE9-FPN1-01), a core module of the MSc programme Future Power Networks

For the CDT Future Power Networks and Smart Grids (joint between Imperial and University of Strathclyde) I teach part of the module Managing Risk and Uncertainty in Grid Operation (Strathclyde-EE807).

Occasionally, I lead physics activities for visiting schools in the Wohl Reach Out Lab.

Selected Publications

Journal Articles

Calvo JL, Tindemans SH, Strbac G, 2016, Incorporating failures of System Protection Schemes into power system operation, Sustainable Energy, Grids and Networks, Vol:8, Pages:98-110

Trovato V, Tindemans SH, Strbac G, 2016, Leaky storage model for optimal multi-service allocation of thermostatic loads, IET Generation Transmission & Distribution, Vol:10, ISSN:1751-8687, Pages:585-593

Tindemans SH, Trovato V, Strbac G, 2015, Decentralized Control of Thermostatic Loads for Flexible Demand Response, IEEE Transactions on Control Systems Technology, Vol:23, ISSN:1063-6536, Pages:1685-1700

Tindemans SH, Strbac G, Robust estimation of risks from small samples, Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, ISSN:1471-2962

Conference

Tindemans SH, Strbac G, 2015, Visualising risk in generating capacity adequacy studies using clustering and prototypes, General Meeting of the IEEE-Power-and-Energy-Society, IEEE, ISSN:1944-9925

Reports

Tindemans S, Djapic P, Schofield J, et al., 2014, Resilience performance of smart distribution networks, Report D4 for the “Low Carbon London” LCNF project

Schofield J, Carmichael R, Tindemans S, et al., 2014, Residential consumer responsiveness to time-varying pricing, Report A3 for the “Low Carbon London” LCNF project

More Publications