Energy Consumption Forecasting based on Hybrid Neural Fuzzy Inference System

Forecasting the electricity consumption is one of the most challenging tasks for energy domain stakeholders. Having reliable electricity consumption forecasts can help minimizing the cost of electricity and also enable a better control on the electricity tariff. This paper presents a study regarding...

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Detalhes bibliográficos
Autor principal: Jozi, Aria (author)
Outros Autores: Pinto, Tiago (author), Praça, Isabel (author), Silva, Francisco (author), Teixeira, Brigida (author), Vale, Zita (author)
Formato: article
Idioma:eng
Publicado em: 2016
Assuntos:
Electricity Consumption
Environmental Temperature
Forecasting
Hybrid Neural Fuzzy Inference Systems
Texto completo:http://hdl.handle.net/10400.22/9999
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/9999

Texto Completo

http://hdl.handle.net/10400.22/9999

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