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Comparison of Conventional and Modern Load Forecasting Techniques Based on Artificial Intelligence and Expert Systems

Author(s): Badar ul Islam

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 5;
Start page: 504;
Date: 2011;
Original page

Keywords: AI Based Electrical Load Forecasting | IJCSI

This paper picturesquely depicts the comparison of different methodologies adopted for predicting the load demand and highlights the changing trend and values under new circumstances using latest non analytical soft computing techniques employed in the field of electrical load forecasting. A very clear advocacy about the changing trends from conventional and obsolete to the modern techniques is explained in very simple way. Load forecast has been a central and an integral process in the planning and operation of electric utilities. Many techniques and approaches have been investigated to tackle this problem in the last two decades. These are often different in nature and apply different engineering considerations and economic analysis. Further a clear comparison is also presented between the past standard practices with the current methodology of electrical load demand forecasting. Besides all this, different important points are highlighted which need special attention while doing load forecasting when the environment is competitive and deregulated one.
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