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Methods and Applications for Electricity Demand Disaggregation in Developing Countries

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.

Publication metadata

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

Publisher: IEEE


DOI: 10.1109/PowerAfrica.2016.7556567

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467399814