Case Study
In the previous chapter, we looked at load measurements for all households together and we ignored their chronological order. In contrast, in this chapter, we are interested in short term forecasting of household profiles individually. Therefore, informat
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Maria Jacob Cláudia Neves Danica Vukadinović Greetham
Forecasting and Assessing Risk of Individual Electricity Peaks
SpringerBriefs in Mathematics of Planet Earth • Weather, Climate, Oceans Editors-in-Chief Dan Crisan, Imperial College London, London, UK Darryl Holm, Imperial College London, London, UK Series Editors Colin Cotter, Imperial College London, London, UK Jochen Broecker, University of Reading, Reading, UK Ted Shepherd, University of Reading, Reading, UK Sebastian Reich, University of Potsdam, Potsdam, Germany Valerio Lucarini, University of Hamburg, Hamburg, Germany
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Maria Jacob Cláudia Neves Danica Vukadinović Greetham •
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Forecasting and Assessing Risk of Individual Electricity Peaks
Maria Jacob University of Reading Reading, UK Danica Vukadinović Greetham The Open University Milton Keynes, UK
Cláudia Neves Department of Mathematics and Statistics University of Reading Reading, UK
SpringerBriefs in Mathematics of Planet Earth - Weather, Climate, Oceans ISSN 2509-7326 ISSN 2509-7334 (electronic) ISBN 978-3-030-28668-2 ISBN 978-3-030-28669-9 (eBook) https://doi.org/10.1007/978-3-030-28669-9 Mathematics Subject Classification (2010): 60XX, 62xx, 90xx © The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and re
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