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.
et al., 2019, Data-Driven Power System Operation: Exploring the Balance Between Cost and Risk, Ieee Transactions on Power Systems, Vol:34, ISSN:0885-8950, Pages:791-801
et al., 2019, Using Vine Copulas to Generate Representative System States for Machine Learning, Ieee Transactions on Power Systems, Vol:34, ISSN:0885-8950, Pages:225-235
et al., 2019, Stochastic Dual Dynamic Programming for Operation of DER Aggregators Under Multi-Dimensional Uncertainty, Ieee Transactions on Sustainable Energy, Vol:10, ISSN:1949-3029, Pages:459-469
Giannelos S, Konstantelos I, Strbac G, 2018, Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty, Ieee Transactions on Power Systems, Vol:33, ISSN:0885-8950, Pages:5103-5113
Konstantelos I, Strbac G, 2018, Capacity value of energy storage in distribution networks, Journal of Energy Storage, Vol:18, ISSN:2352-152X, Pages:389-401