Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow







Electrical EngineeringSouth Kensington Campus





I am a Research Fellow working on the application of optimization, machine learning and statistical techniques to the design and operation of energy systems. My main research interests lie in the following topics:

Application of stochastic, risk-constrained and robust optimization methods to decision-making under uncertainty. I have published extensively on the concept of 'smart grid option value' and currently extending my work to the field of decision-dependent uncertainty modelling.

Development of novel decomposition schemes for very large-scale optimization problems. I have published state-of-the-art methodologies for the decomposition of large design and operation problems using hierarchical approaches, Nested Benders, multi-cut algorithm variants etc.

Pioneering work on the use of machine learning for surrogate modelling of the dynamic behavior of complex systems. In this context, I have led critical work on the stability assessment of the pan-European electricity grid (iTesla project) and continue this research track in collaboration with the French Transmission System Operator RTE.

Development of novel high-dimensional modelling frameworks based on vine copulas with  applications to non-linear data-sets of >4000 variables.

Novel Monte Carlo methods applied to the development of energy storage capacity credit methodologies.



Konstantelos I, strbac G, Moreno R, Coordination and Uncertainty in Strategic Network Investment: Case on the North Seas Grid, Energy Economics, ISSN:1873-6181

Konstantelos I, Jamgotchian G, Tindemans SH, et al., 2017, Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids, Ieee Transactions on Smart Grid, Vol:8, ISSN:1949-3053, Pages:1417-1426

Konstantelos I, Pudjianto D, Strbac G, et al., 2017, Integrated North Sea grids: The costs, the benefits and their distribution between countries, Energy Policy, Vol:101, ISSN:0301-4215, Pages:28-41

Sun M, Konstantelos I, Strbac G, 2017, C-Vine Copula Mixture Model for Clustering of Residential Electrical Load Pattern Data, Ieee Transactions on Power Systems, Vol:32, ISSN:0885-8950, Pages:2382-2393


Sun M, Konstantelos I, Strbac G, Analysis of diversified residential demand in London using smart meter and demographic data, 2016 IEEE PES General Meeting, IEEE

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