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SIPBS is a major research centre in Scotland focusing on 'new medicines', 'better medicines' and 'better use of medicines'. This includes the exploration of nanoparticles and nanomedicines within the wider research agenda of bionanotechnology, in which the tools of nanotechnology are applied to solve biological problems. At SIPBS multidisciplinary approaches are also pursued to improve bioscience understanding of novel therapeutic targets with the aim of developing therapeutic interventions and the investigation, development and manufacture of drug substances and products.

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The fuzzy decision tree application to a power system problem

Lo, K.L. and Abidin, H. (2004) The fuzzy decision tree application to a power system problem. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 23 (2). pp. 436-451. ISSN 0332-1649

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Abstract

This paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence, leading to new methods. Spotlight, the fuzzy decision tree (FDT) method and its application to voltage collapse assessments. Concludes that FDT can identify and group data sets, giving a new understanding of its application in voltage collapse analysis.

Author(s):Lo, K.L. and Abidin, H.
Item type:Article
ID code:7044
Keywords:fuzzy logic, power transmission systems, voltage, voltage fluctuations, systems theory, power systems, Electrical engineering. Electronics Nuclear engineering, Computational Theory and Mathematics, Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Strathprints Administrator
Date deposited:23 Oct 2008
Last modified:03 Jan 2019 11:35
URI:https://strathprints.strath.ac.uk/id/eprint/7044
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