@inproceedings{Sun:2016,
author = {Sun, M and Konstantelos, I and Strbac, G},
publisher = {IEEE},
title = {Analysis of diversified residential demand in London using smart meter and demographic data},
url = {http://hdl.handle.net/10044/1/30304},
year = {2016}
}

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TY  - CPAPER
AB  - In   the   interest   of   economic   efficiency, design of distribution  networks  should  be  taillored  to  the  demonstrated needs  of  its  consumers.  However,  in  the  absence  of  detailed knowledge    related    to    the    characteristics    of    electricity consumption, planning has traditionally been carried out on the basis  of  empirical  metrics;  conservative  estimates  of  individual peak  consumption  levels  and  of  demand  diversification  across multiple  consumers.  Although  such  practices  have  served  the industry   well,   the   advent   of   smart   metering   opens   up   the possibility  for  gaining  valuable  insights  on  demand  patterns, resulting   in   enhanced   planning   capabilities.   This   paper   is motivated by the collection of demand measurements across 2,639 households in London, as part of Low Carbon London project’s smart-metering  trial. Demand  diversity  and  other  metrics  of interest  are  quantified  for  the  entire  dataset  as  well  as  across different  customer  classes,  investigating  the  degree  to  which occupancy  level  and  wealth  can  be  used  to  infer  peak  demand behavior.
AU  - Sun,M
AU  - Konstantelos,I
AU  - Strbac,G
PB  - IEEE
PY  - 2016///
TI  - Analysis of diversified residential demand in London using smart meter and demographic data
UR  - http://hdl.handle.net/10044/1/30304
ER  - 

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