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Lookup NU author(s): Dr David Greenwood,
Dr Peter Davison,
Dr Neal WadeORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2016.
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Electricity demand disaggregation describes the identification of appliance level loads from aggregate power measurements. This topic is widely researched, but the majority of projects focus on grid connected customers with strong connections and many loads; however, there are numerous applications for disaggregation in the intelligent, off-grid systems emerging in developing countries. In this paper, we describe an established disaggregation method – The Hidden Semi-Markov Model (HSMM) – applications for electricity demand disaggregation in developing countries, and provide examples from projects Sub-Saharan Africa.
Author(s): Greenwood DM, Davison PJ, Duby S, Wade NS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: IEEE PES PowerAfrica 2016
Year of Conference: 2016
Online publication date: 01/09/2016
Acceptance date: 02/04/2016
Date deposited: 05/07/2016
Library holdings: Search Newcastle University Library for this item