Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1511
Título: Typical load profiles in the smart grid context – a clustering methods comparison
Autor: Ramos, Sérgio
Duarte, João
Soares, João
Vale, Zita
Duarte, Jorge
Palavras-chave: Clustering
Data mining
Load profiles
Smart grid
Data: 2012
Editora: IEEE
Resumo: The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.
URI: http://hdl.handle.net/10400.22/1511
ISBN: 978-1-4673-2727-5
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6345565
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
COM_SergioRamos_2012_GECAD.pdf641,51 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.