Fuzzy subtractive clustering technique applied to demand response in a smart grid scope
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering technique for a favorable modeling of demand response. Domestic consumption is classified into profiles in order to cover the adequate modeling. The fuzzy subtractive clustering technique is applied to o...
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| Outros Autores: | , |
| Formato: | lecture |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10174/9268 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/9268 |
| Resumo: | This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering technique for a favorable modeling of demand response. Domestic consumption is classified into profiles in order to cover the adequate modeling. The fuzzy subtractive clustering technique is applied to on a case study of domestic consumption demand response with three scenarios and a comparison of the results is presented. The demand response developed model intends to support consumer´s decisions given a compromise between the consumption imperative needs and possible economical benefits due to reshape and reschedule. |
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