Cite the paper
Mohamed Y. Al-Hamad & Isa S. Qamber (2016). ANFIS and Multi Linear Regression to Estimate the LTLF for the Kingdom of Bahrain. Mechanics, Materials Science & Engineering, Vol 5. doi:10.13140/RG.2.1.3552.1524
Authors: Mohamed Y. Al-Hamad, Isa S. Qamber
ABSTRACT. In the present study, Multiple Linear Regression Method and Adaptive Neuro-Fuzzy Inference System (ANFIS) are designed for output estimated Long Term Estimated Load for the Kingdom of Bahrain. Three variables used as inputs, which are Present Peak Load, Gross Domestic Product (GDP) and Population versus years. Obtaining the estimated Peak Loads calculated using the multi linear regression and ANFIS. The MATLAB Simulink 7.10 package used to obtain the estimated peak load for the Kingdom of Bahrain. The models obtained using the multi linear regression and Neuro-Fuzzy techniques. Bahrain Population and GDP used in the Multiple Linear Regression Model. Different GDP growth scenario based on development in the country used and taken in consideration. The results used for the Peak Demand will compared with actual peaks data. The average percentage of error for each model calculated based on data used to generate the model, where the less average error model presented and recommended for the long-term load forecast for the peak load demand.
Keywords: ANFIS, GDP, MATLAB, Bahrain, LTEL
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