On the energy demands of small appliances in homes

Understanding the use of electrical appliances in households is crucial for improving the accuracy of electricity and energy loads forecasts. In particular, bottom-up techniques provide a powerful tool, not only for predicting demands considering socio-demographic characteristics of the occupants, b...

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Main Authors: Sancho Tomas, Ana, Sumner, Mark, Lamparter, S., Robinson, Darren
Format: Article
Published: Elsevier 2015
Online Access:https://eprints.nottingham.ac.uk/34737/
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author Sancho Tomas, Ana
Sumner, Mark
Lamparter, S.
Robinson, Darren
author_facet Sancho Tomas, Ana
Sumner, Mark
Lamparter, S.
Robinson, Darren
author_sort Sancho Tomas, Ana
building Nottingham Research Data Repository
collection Online Access
description Understanding the use of electrical appliances in households is crucial for improving the accuracy of electricity and energy loads forecasts. In particular, bottom-up techniques provide a powerful tool, not only for predicting demands considering socio-demographic characteristics of the occupants, but also to better resolve and implement demand side management strategies in homes. With this purpose, a study of the temporal energy use of low-load appliances (meaning those whose annual energy share is individually negligible but relevant when considered as a group) has been carried out, with the longer term objective of finding a parsimonious approach to modelling them, and which considers an appropriate aggregation of appliances. In this work, a discrete-time stochastic process has been implemented for a specific classification of low-load appliances. More precisely, a time-inhomogeneous Markov chain has been used to model energy variations over time for four different categories of appliances and its prediction capabilities have been tested and compared.
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spelling nottingham-347372020-05-04T17:18:15Z https://eprints.nottingham.ac.uk/34737/ On the energy demands of small appliances in homes Sancho Tomas, Ana Sumner, Mark Lamparter, S. Robinson, Darren Understanding the use of electrical appliances in households is crucial for improving the accuracy of electricity and energy loads forecasts. In particular, bottom-up techniques provide a powerful tool, not only for predicting demands considering socio-demographic characteristics of the occupants, but also to better resolve and implement demand side management strategies in homes. With this purpose, a study of the temporal energy use of low-load appliances (meaning those whose annual energy share is individually negligible but relevant when considered as a group) has been carried out, with the longer term objective of finding a parsimonious approach to modelling them, and which considers an appropriate aggregation of appliances. In this work, a discrete-time stochastic process has been implemented for a specific classification of low-load appliances. More precisely, a time-inhomogeneous Markov chain has been used to model energy variations over time for four different categories of appliances and its prediction capabilities have been tested and compared. Elsevier 2015-11-01 Article PeerReviewed Sancho Tomas, Ana, Sumner, Mark, Lamparter, S. and Robinson, Darren (2015) On the energy demands of small appliances in homes. Energy Procedia, 78 . pp. 3384-3390. ISSN 1876-6102 http://www.sciencedirect.com/science/article/pii/S187661021502487X doi:10.1016/j.egypro.2015.11.755 doi:10.1016/j.egypro.2015.11.755
spellingShingle Sancho Tomas, Ana
Sumner, Mark
Lamparter, S.
Robinson, Darren
On the energy demands of small appliances in homes
title On the energy demands of small appliances in homes
title_full On the energy demands of small appliances in homes
title_fullStr On the energy demands of small appliances in homes
title_full_unstemmed On the energy demands of small appliances in homes
title_short On the energy demands of small appliances in homes
title_sort on the energy demands of small appliances in homes
url https://eprints.nottingham.ac.uk/34737/
https://eprints.nottingham.ac.uk/34737/
https://eprints.nottingham.ac.uk/34737/