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International Journal of Advanced Engineering, Management and Science

Artificial Neuron Network-Based Prediction of Fuel Consumption in Antananarivo

( Vol-9,Issue-5,May 2023 )

Author(s): Jean Marc Fabien Sitraka Randrianirina, Bernard Andriamparany Andriamahitasoa, Liva Graffin Rakotoarimanana, Eulalie Odilette Rafanjanirina, Minoson Rakotomalala, Zely Arivelo Randriamanantany

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Page No: 027-031
ijaems crossref doiDOI: 10.22161/ijaems.95.5


ANN prediction, Antananarivo forecasting model, fuel consumption, modeling


The ability to modeling fuel consumption forecast is important to improve fuel quantity suitable for users (individuals, businesses, etc.) to prevent fuel shortages. Kerosene, super fuel and gas oil consumptions forecasting models for Antananarivo region were developed. Model is based on Artificial Neural Network (ANN) learning which used advanced machine learning techniques using backpropagation algorithm. Successful time series and trend patterns given by the three ANN prediction models were presented. To predict 18 months fuel consumption in Antananarivo, ANN models’ accuracy reaches more than 95% accuracy.

Article Info:

Received: 09 Apr 2023; Received in revised form: 06 May 2023; Accepted: 13 May 2023; Available online: 20 May 2023

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