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Intelligent Information Systems and Knowledge Management for Energy
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Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional
techniques or as components of integrated systems. They have been used to solve complicated practical
problems in various areas and nowadays are very popular. They are widely accepted as a technology
offering an alternative way to tackle complex and ill-defined problems. They can learn from examples,
are fault tolerant in the sense that they are able to handle noisy and incomplete data, are able to deal with
non-linear problems and once trained can perform prediction and generalization at very high speed. AIbased
systems are being developed and deployed worldwide in a wide variety of applications, mainly
because of their symbolic reasoning, flexibility and explanation capabilities. They have been used in
diverse applications in control, robotics, pattern recognition, forecasting, medicine, power systems,
manufacturing, optimization, signal processing and social/psychological sciences. They are particularly
useful in system modeling such as in implementing complex mappings and system identification. This
chapter presents a review of the main AI techniques such as expert systems, artificial neural networks,
genetic algorithms, fuzzy logic and hybrid systems, which combine two or more techniques. It also
outlines some applications in the energy sector
IGI Global. - Organizational Body
1st Edition
978-1-60566-738-6
NONE
Intelligent Information Systems and Knowledge Management for Energy
Management
English
IGI Global.
2010
USA
1-524
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