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, Brígida (author), Vale, Zita (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2021
Assuntos:
Electricity Consumption
Environmental Temperature
Forecasting
Hybrid Neural Fuzzy Inference Systems
Texto completo:http://hdl.handle.net/10400.22/18515
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18515

Texto Completo

http://hdl.handle.net/10400.22/18515

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