Volume 3, Issue 4, July 2017, Page: 33-48
G2EDPS's First Module & Its First Extension Modules
Burak Omer Saracoglu, Independent Scholar, Istanbul, Turkey
Received: Feb. 27, 2017;       Accepted: Mar. 29, 2017;       Published: Nov. 28, 2017
DOI: 10.11648/j.ajasr.20170304.13      View  2679      Downloads  87
Abstract
100% renewable worldwide power grid (Global Grid) system needs a Global Grid Electricity Demand Prediction System (G2EDPS) with very short, short, medium and long term forecasting consoles. This paper presents the 1st core module and its 10 extension modules in the long term prediction console. A type 1 Mamdani like Fuzzy Inference System (FIS) with 7 triangle membership functions and 49 rules is designed for 2 input and 1 output variables for a 100 year forecasting period. The maximum absolute percentage errors (MAP), the mean absolute percentage errors (MAPE), and the Symmetric MAPE (SMAPE) of the best core module and its extension modules are respectively 0, 24; 0, 08; 0, 05 and 0, 22; 0, 07; 0, 05.
Keywords
Global Grid, Electricity Demand, Fuzzy Inference System, Mamdani, Prediction
To cite this article
Burak Omer Saracoglu, G2EDPS's First Module & Its First Extension Modules, American Journal of Applied Scientific Research. Vol. 3, No. 4, 2017, pp. 33-48. doi: 10.11648/j.ajasr.20170304.13
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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