2023

Haben, S., Voss, M. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2023) Core concepts and methods in load forcasting. Springer, Cham, pp384. ISBN 9783031278518 doi: https://doi.org/10.1007/978-3-031-27852-5

2019

Alasali, F., Haben, S. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2019) Energy management systems for a network of electrified cranes with energy storage. International Journal of Electrical Power & Energy Systems, 106. pp. 210-222. ISSN 01420615 doi: https://doi.org/10.1016/j.ijepes.2018.10.001

Alasali, F., Haben, S. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2019) Stochastic optimal energy management system for RTG cranes network using genetic algorithm and ensemble forecasts. Journal of Energy Storage, 24. 100759. ISSN 2352-152X doi: https://doi.org/10.1016/j.est.2019.100759

2018

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

Tabeart, J. M., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Haben, S. A., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568, Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 and Waller, J. A. (2018) The conditioning of least squares problems in variational data assimilation. Numerical Linear Algebra with Applications, 25 (5). e2165. ISSN 1099-1506 doi: https://doi.org/10.1002/nla.2165

Alasali, F., Haben, S., Becerra, V. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2018) Day-ahead industrial load forecasting for electric RTG cranes. Journal of Modern Power Systems and Clean Energy, 6 (2). pp. 223-234. ISSN 2196-5625 doi: https://doi.org/10.1007/s40565-018-0394-4

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

2017

Hattam, L., Vukadinovic Greetham, D., Haben, S. and Roberts, D. (2017) Electric vehicles and low voltage grid: impact of uncontrolled demand side response. In: 24th International Conference on Electricity Distribution, 12-15 June 2017, Glasgow, pp. 1073-1076.

2016

Haben, S., Singleton, C. and Grindrod, P. (2016) Analysis and clustering of residential customers energy behavioral demand using smart meter data. IEEE Transactions on Smart Grid, 7 (1). pp. 136-144. ISSN 1949-3053 doi: https://doi.org/10.1109/TSG.2015.2409786

2014

Haben, S. A., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568 and Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220, (2014) Conditioning and preconditioning of the optimal state estimation problem. Mathematics Preprint Series. 2014-08. Technical Report. Dept of Mathematics & Statistics, University of Reading pp21.

Haben, S., Ward, J., Vukadinovic Greetham, D., Singleton, C. and Grindrod, P. (2014) A new error measure for forecasts of household-level, high resolution electrical energy consumption. International Journal of Forecasting, 30 (2). pp. 246-256. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2013.08.002

2013

Haben, S., Rowe, M., Vukadinovic Greetham, D., Grindrod, P., Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624, Potter, B. and Singleton, C. (2013) Mathematical solutions for electricity networks in a low carbon future. In: Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on, 10-13 June 2013, Stockholm, 0857-0857. doi: https://doi.org/10.1049/cp.2013.0972

2011

Haben, S. A., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568 and Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 (2011) Conditioning of incremental variational data assimilation, with application to the Met Office system. Tellus Series A: Dynamic Meteorology and Oceanography, 63 (4). pp. 782-792. ISSN 1600-0870 doi: https://doi.org/10.1111/j.1600-0870.2011.00527.x

Haben, S. A., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568 and Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 (2011) Conditioning and preconditioning of the variational data assimilation problem. Computers & Fluids, 46 (1). pp. 252-256. ISSN 0045-7930 doi: https://doi.org/10.1016/j.compfluid.2010.11.025