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Items where Author is "Haben, Mr Stephen"

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Number of items: 11.

Article

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

Tabeart, J. M., Dance, S. L., Haben, S. A., Lawless, A. S., Nichols, N. K. and Waller, J. A. (2018) The conditioning of least squares problems in variational data assimilation. Numerical Linear Algebra with Applications. e2165. ISSN 1099-1506 doi: https://doi.org/10.1002/nla.2165

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. (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. (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., 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., (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. (In Press)

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

This list was generated on Sun Jul 22 13:53:22 2018 UTC.

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