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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Bibliographic Details
Main Author: Jozi, Aria (author)
Other Authors: Pinto, Tiago (author), Praça, Isabel (author), Silva, Francisco (author), Teixeira, Brígida (author), Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Electricity Consumption
Environmental Temperature
Forecasting
Hybrid Neural Fuzzy Inference Systems
Online Access:http://hdl.handle.net/10400.22/18515
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18515

Internet

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

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