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Items where Author is "Haben, Mr Stephen"

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Number of items: 15.

Article

Alasali, F., Haben, S. and Holderbaum, W. (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. (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

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., 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. (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., 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

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

Haben, S. A., Lawless, A. S. 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. 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

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

Report

Haben, S. A., Lawless, A. S. 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.

Conference or Workshop Item

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.

Haben, S., Rowe, M., Vukadinovic Greetham, D., Grindrod, P., Holderbaum, W., 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

Book

Haben, S., Holderbaum, W. and Voss, M. (2023) Load forecasting: core concepts and methods with applications in distribution networks. Springer Nature, pp384. ISBN 9783031278518 (In Press)

This list was generated on Tue Mar 19 02:24:05 2024 UTC.

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