Artificial Neuron Network-Based Prediction of Fuel Consumption in Antananarivo

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

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

Total View : 497
Downloads : 169
Page No: 027-031
DOI: 10.22161/ijaems.95.5

Keywords:

ANN prediction, Antananarivo forecasting model, fuel consumption, modeling

Abstract:

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.

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

Cite This Article:

Share: