The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data

Autor:	Dent, Ian, Aickelin, Uwe, Rodden, Tom
Rok vydání:	2013
Předmět:	Computer Science - Computational Engineering Finance and Science Computer Science - Learning Statistics - Applications
Druh dokumentu:	Working Paper
Popis:	This paper describes a method for defining representative load profiles for domestic electricity users in the UK. It considers bottom up and clustering methods and then details the research plans for implementing and improving existing framework approaches based on the overall usage profile. The work focuses on adapting and applying analysis framework approaches to UK energy data in order to determine the effectiveness of creating a few (single figures) archetypical users with the intention of improving on the current methods of determining usage profiles. The work is currently in progress and the paper details initial results using data collected in Milton Keynes around 1990. Various possible enhancements to the work are considered including a split based on temperature to reflect the varying UK weather conditions. Comment: Buildings Do Not Use Energy, People Do Research Student Conference, Bath, UK, 2011. arXiv admin note: text overlap with arXiv:1307.1079
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1307.1380 Zobrazit plný text záznamu View this record from Arxiv