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Stephen Haben is a Visiting Professor and Research Fellow at the Mathematical Institute at the University of Oxford. His research focuses on probabilistic load forecasting methods, particularly for electricity demand in low voltage contexts. He has expertise in optimization methods including control for storage devices, unsupervised discrimination through finite mixture models and k-means clustering, as well as time series analysis and data assimilation. Haben has contributed to the field of linear algebra and forecasting measures, particularly in relation to smart grids and data analytics. His work includes significant books and projects, notably the 'Core Concepts Methods Load Forecasting' and participation in the New Thames Valley Vision project from 2011 to 2017. Through his research, he aims to advance methodologies that improve predictive capabilities in electricity distribution networks.
Department of Politics and International Relations - Higher Level English requirement.