Summary
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 flexibility 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, statistical learning, uncertainty quantification and Monte Carlo sampling.
Publications
Journals
Giannelos S, Borozan S, Aunedi M, et al., 2023, Modelling smart grid technologies in optimisation problems for electricity grids, Energies, Vol:16, ISSN:1996-1073, Pages:1-15
Giannelos S, Moreira A, Papadaskalopoulos D, et al., 2023, A machine learning approach for generating and evaluating forecasts on the environmental impact of the buildings sector, Energies, Vol:16, ISSN:1996-1073, Pages:1-37
Sioshansi R, Denholm P, Arteaga J, et al., 2022, Energy-Storage Modeling: State-of-the-Art and Future Research Directions, Ieee Transactions on Power Systems, Vol:37, ISSN:0885-8950, Pages:860-875
Heylen E, Papadaskalopoulos D, Konstantelos I, et al., 2020, Dynamic modelling of consumers’ inconvenience associated with demand flexibility potentials, Sustainable Energy, Grids and Networks, Vol:21, ISSN:2352-4677, Pages:1-13
Conference
Konstantelos I, Wiebe J, Moss R, et al., 2022, Fab-Wide Scheduling of Semiconductor Plants: A Large-Scale Industrial Deployment Case Study, Pages:3297-3308, ISSN:0891-7736