By J.R. McDonald, Stephen McArthur, Graeme Burt, Jerry Zielinski
Intelligent wisdom established structures in electrical energy Engineering information how clever purposes can be utilized within the strength undefined. The e-book provides a common and historic assessment of clever wisdom dependent structures (IKBS) and synthetic intelligence (AI) and a huge research of the appliance of those thoughts within the electrical energy undefined. It comprises chapters on forecasting and making plans in energy structures, layout of electric plant and platforms, IKBS in situation tracking, alarm processing, occasion and fault analysis and an research of destiny tendencies in IKBS for energy engineering. No past wisdom of IKBS is believed, yet an appreciation of electric transmission and distribution platforms will be useful.
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Additional resources for Intelligent knowledge based systems in electrical power engineering
1989) Expert systems in electric power systems - a bibliographical survey. IEEE Transactions on Power Systems, 4(4), 1355-62. 12. J. J. (1963) Analysis and Computation of Electric and Magnetic Field Problems, Pergamon Press, Oxford. 13. 5. (1980) Analogue and Digital Modelling, textbook, Technical University of Lodz, Lodz, Poland (in Polish). 14. D. A. (1962) Computer Handbook, McGraw-Hill Book Co. 4 . Forecasting and planning In power systems U. 1 INTRODUCTION In order to give a balanced presentation, while noting that this book is addressed to a mixed audience, this chapter commences with some background on planning and forecasting before going on to give examples of the application of expert systems.
Nebendahl, D. ) (1988) Expert Systems, John Wiley. Odawara, G. ) (1989) CAD Systems Using AI Techniques, Elsevier Science Publishers. Parsaye, K and Chignell, M. (1988) Expert Systems for Experts, John Wiley. , Khoshafian, S. and Wong, H. (1989) Intelligent Databases, John Wiley. Pau, L. (1987) Knowledge representation approaches in sensor fusion, in 10th World Congress on Automatic Control, IFAC, Munich, July, vol. 6, pp. 319-323. c. and McArthur, R (1990) Developing Expert Systems, John Wiley.
G. provable optimum solutions for the formulation used (an important qualification); 3. very strong analytical background. Weak points: 1. must avoid formulations leading to 'combinatorial explosions' (these often result from the obvious approach); 2. difficulty in handling 'fuzzy' problems and data; 3. difficult to incorporate problem aspects which cannot be quantified. (b) Human Strong points: 1. can identify patterns and connections, can distinguish the 'wood from the trees' and hence can isolate profitable lines of attack; 2.