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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. 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

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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

Hattam, L. (2018) Travelling wave solutions of the perturbed mKdV equation that represent traffic congestion. Wave Motion, 79. pp. 57-72. ISSN 0165-2125 doi: https://doi.org/10.1016/j.wavemoti.2018.02.006

Hattam, L. and Vukadinovic Greetham, D. (2018) Energy disaggregation for SMEs using recurrence quantification analysis. In: ACM e-Energy 2018, 12 Jun 2018, Karlsruhe, Germany, pp. 610-617.

Hattam, L. and Vukadinovic Greetham, D. (2018) An innovation diffusion model of a local electricity network that is influenced by internal and external factors. Physica A: Statistical Mechanics and its Applications, 490. pp. 353-365. ISSN 0378-4371 doi: https://doi.org/10.1016/j.physa.2017.08.014

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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