Accessibility navigation


Items where Author is "Giasemidis, Dr. Georgios"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
[tool] Batch List
Group by: Item Type | No Grouping
Number of items: 8.

Article

Giasemidis, G., Kaplis, N., Agrafiotis, I. and Nurce, J. R. C. (2020) A semi-supervised approach to message stance classification. IEEE Transactions on Knowledge and Data Engineering, 32 (1). pp. 1-11. ISSN 1041-4347 doi: https://doi.org/10.1109/TKDE.2018.2880192

Giasemidis, G. and Haben, S. (2018) Modelling the demand and uncertainty of low voltage networks and the effect of non-domestic consumers. Sustainable Energy, Grids and Networks, 16. pp. 341-340. ISSN 2352-4677 doi: https://doi.org/10.1016/j.segan.2018.10.002

Giasemidis, G., Haben, S., Lee, T., Singleton, C. and Grindrod, P. (2017) A genetic algorithm approach for modelling low voltage network demands. Applied Energy, 203 (1). pp. 463-473. ISSN 0306-2619 doi: https://doi.org/10.1016/j.apenergy.2017.06.057

Haben, S. and Giasemidis, G. (2016) A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting. International Journal of Forecasting, 32 (3). pp. 1017-1022. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2015.11.004

Book or Report Section

Haben, S. and Giasemidis, G. (2018) Distribution network demand and its uncertainty. In: Arefi, A., Shahnia, F. and Ledwich, G. (eds.) Electric Distribution Network Management and Control. Springer, pp. 59-84. ISBN 9789811070013 doi: https://doi.org/10.1007/978-981-10-7001-3_3

Yunusov, T. ORCID: https://orcid.org/0000-0003-2318-3009, Giasemidis, G. and Haben, S. (2018) Smart storage scheduling and forecasting for peak reduction on low-voltage feeders. In: Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, 149. Springer, pp. 83-107. ISBN 9783319756905 doi: https://doi.org/10.1007/978-3-319-75690-5_5

Conference or Workshop Item

Giasemidis, G. and Vukadinovic Greetham, D. (2018) Optimising parameters in recurrence quantification analysis of smart energy systems. In: 9th International Conference on Information, Intelligence, Systems and Applications (IISA2018), 23-25 July 2015, Zakynthos, Greece.

Giasemidis, G., Singleton, C., Agrafiotis, I., Nurse, J. R. C., Pilgrim, A., Willis, C. and Vukadinovic Greetham, D. (2016) Determining the veracity of rumours on Twitter. In: 8th International Conference on Social Informatics, SocInfo 2016, 15-17 November 2016, Seattle, USA, pp. 185-205.

This list was generated on Sat Dec 21 13:13:52 2024 UTC.

Page navigation