Chapter 16: Application Areas of AI Systems

Abstract

Artificial intelligence is widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. Artificial intelligence (AI) systems comprise areas like, artificial neural networks (ANN), genetic algorithms (GA), fuzzy logic (FL) and various hybrid systems, which combine two or more techniques. AI systems can learn from examples, are fault tolerant, i.e., 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. They have been used in diverse applications in pattern recognition, forecasting, optimization, signal processing, medicine, power systems, manufacturing, control, robotics, social/psychological sciences and many more. They are particularly useful in system modeling such as in implementing complex mappings and system identification. The major objective of this introductory chapter is to outline an understanding of how artificial intelligence systems operate and how they are set up in order to be used in the different disciplines of energy and renewable energy engineering. Keywords: