Mohammed Mekidiche

Work place: Department of Economics, The University Center in Maghnia, Algeria



Research Interests: Combinatorial Optimization, Planning and Scheduling, Computer systems and computational processes


Dr. Mohammed Mékidiche is currently Professor in the faculty of economics and commerce, University of Tlemcen, Maghnia Center, Algeria, where he teaches Statistics and Operations Research He received the MS degree in production and operations Management at Faculty of Economics and commerce, University of Tlemcen, Algeria in 2005. He is currently a PhD holder in the field of production and operations Management at University of Tlemcen in 2012. His research project is optimization in production planning, fuzzy optimization and its application in production planning and scheduling

Author Articles
Forecasting Natural Gas Prices Using Nonlinear Autoregressive Neural Network

By Abdelkader Sahed Mohammed Mekidiche Hacen Kahoui

DOI:, Pub. Date: 8 Oct. 2020

When forecasting time series, It was found that simple linear time series models usually leave facets of economic and financial unknown in the forecasting time series due to linearity behavior, which remains the focus of empirical and applied study. The study suggested the Nonlinear Autoregressive Neural Network model and a comparison was made using the ARIMA model for forecasting natural gas prices, as obtained from the analysis, NAR models were better than the completed ARIMA model, measured against three performance indicators. The decision criterion for the selection of the best suited model depends on MSE, RMSE and R2. From the results of the criterion it has found that both the models are providing almost closed results but NAR is the best suited model for the forecasting of natural gas prices.

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