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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1984

Title: Application of neural networks to power systems
Authors: Kothari, D P
Keywords: artificial neural networks
rapidity and robustness
Issue Date: 2000
Citation: Industrial Technology Proceedings of IEEE International Conference on, 1, 621 - 626p.
Abstract: ANNs (artificial neural networks) have attracted considerable attention as candidates for computational systems due to the variety of advantages they offer over the conventional computational systems. Among these advantages, the ability to memorise, rapidity and robustness are the most profound and interesting properties which have attracted attention in many fields. The paper critically reviews the ANN related publications involving typical power system problems during the 1990s. A brief overview of the ANN theory, different models and their applications is given.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1984
Appears in Collections:Energy Studies [CES]

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