Ioannis Konstantelos is a Research Fellow working on the optimisation and control of energy systems. His research focuses on the integration of renewables and the role of new technologies such as energy storage and demand-side schemes. He has published extensively on how these new technologies can provide flexiblity and help manage uncertainty at operation as well long-term planning timescales. Ioannis analyses energy systems by developing new computational methods including: optimisation, problem decomposition and convexification, statisitcal learning, uncertainty quantification and Monte Carlo sampling.
Giannelos S, Konstantelos I, Strbac G, Option Value of Demand-Side Response schemes under Decision-Dependent Uncertainty, Ieee Transactions on Power Systems, ISSN:0885-8950
et al., It’s All About Grids: The Importance of Transmission Pricing and Investment Coordination in Integrating Renewables, Ieee Power and Energy Magazine, ISSN:1540-7977
et al., 2018, An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources, Energy, Vol:145, ISSN:0360-5442, Pages:871-885
et al., 2018, A Five-Level MILP Model for Flexible Transmission Network Planning Under Uncertainty: A Min-Max Regret Approach, Ieee Transactions on Power Systems, Vol:33, ISSN:0885-8950, Pages:486-501
et al., 2017, Stochastic Dual Dynamic Programming for Operation of DER Aggregators under Multidimensional Uncertainty, Ieee Transactions on Sustainable Energy, ISSN:1949-3029, Pages:1-1