Modeling Typical Power Demand Curves Using Climatic Data

This paper presents a methodology for modeling typical power demand curves and shows the influence of climatic data as a deterministic factor for this characterization by using Artificial Neural Networks. The methodology presented was applied on real data, what made possible to obtain typical curves...

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Bibliographic Details
Published in:Revista IEEE América Latina 2016-07, Vol.14 (7), p.3278-3284
Main Authors: Santos Marques, Marthielo, Soares, Fatima Cibele, Russi, Jumar Luis
Format: Article
Language:eng ; por
Subjects:
Data models
Mathematical model
MATLAB
Power demand
Power Demand Curve
Power Systems
RNA
Systems Modeling
Online Access:Get full text
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Description
Summary:This paper presents a methodology for modeling typical power demand curves and shows the influence of climatic data as a deterministic factor for this characterization by using Artificial Neural Networks. The methodology presented was applied on real data, what made possible to obtain typical curves with a high degree of accuracy in forecasting demand curves. By means of the investigation carried out it can be seen the closest relationship between climatic data and electric power demand. Furthermore, a comparison between the proposed methodology and the kVAs method is presented.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2016.7587631