Analysis of diversified residential demand in London using smart meter and demographic data

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Title: Analysis of diversified residential demand in London using smart meter and demographic data
Authors: Sun, M
Konstantelos, I
Strbac, G
Item Type: Conference Paper
Abstract: 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.
Issue Date: 17-Jul-2016
Date of Acceptance: 24-Jan-2016
URI: http://hdl.handle.net/10044/1/30304
Publisher: IEEE
Copyright Statement: © 2016 IEEE. This paper is embargoed until published.
Conference Name: 2016 IEEE PES General Meeting
Publication Status: Accepted
Start Date: 2016-07-17
Finish Date: 2016-07-21
Conference Place: Boston
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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