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Coauthored project comparing ANFIS and machine learning models for forecasting electricity production in a combined cycle power plant. Forked from ear-analytics.

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ANFIS AND MACHINE LEARNING FOR ELECTRICITY PRODUCTION FORECASTING

This code accompanies the article 'Comparison of adaptive neuro-fuzzy inference system (ANFIS) and machine learning algorithms for electricity production forecasting'.

The code provided here in R, python and matlab is for the forecast model for the electricity production of a combined cycle power plant.

Video abstracts: https://youtu.be/m6MWcmIsBoA

Elen Y.A. Rodríguez*$^a$, Alexander A.R. Gamboa$^b$, Elias C.A. Rodríguez$^a$, Aneirson F. da Silva$^a$, Paloma M.S.R. Rizol$^a$, and Fernando A.S. Marins$^a$

$^a$ Universidade Estadual Paulista, Faculdade de Engenharia de Guaratinguetá, Brasil.

$^b$ Instituto Tecnológico de Aeronáutica, Brasil.

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Coauthored project comparing ANFIS and machine learning models for forecasting electricity production in a combined cycle power plant. Forked from ear-analytics.

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  • Python 57.3%
  • MATLAB 26.8%
  • R 15.9%