Read e-book online Automatic Learning Techniques in Power Systems PDF

By Louis A. Wehenkel

Automated studying is a fancy, multidisciplinary box of study and improvement, regarding theoretical and utilized tools from statistics, laptop technology, synthetic intelligence, biology and psychology. Its functions to engineering difficulties, corresponding to these encountered in electricity platforms, are as a result difficult, whereas tremendous promising. increasingly more information became to be had, amassed from the sphere through systematic archiving, or generated via computer-based simulation. to deal with this explosion of information, automated studying can be utilized to supply systematic techniques, with out which the expanding facts quantities and desktop energy will be of little use.
Automatic studying strategies in strength Systems is devoted to the sensible program of automated studying to energy structures. persistent structures to which automated studying could be utilized are screened and the complementary points of computerized studying, with admire to analytical tools and numerical simulation, are investigated.
This e-book offers a consultant subset of automated studying equipment - easy and extra refined ones - on hand from information (both classical and modern), and from man made intelligence (both tough and delicate computing). The textual content additionally discusses acceptable methodologies for combining those the right way to make the simplest use of accessible info within the context of real-life difficulties.
Automatic studying strategies in energy Systems is an invaluable reference resource for pros and researchers constructing computerized studying platforms within the electrical energy box.

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Extra resources for Automatic Learning Techniques in Power Systems

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3 Discussion Part II 138 138 138 140 140 141 142 144 145 145 146 146 146 147 149 150 154 156 APPLICATION OF AUTOMATIC LEARNING TO SECURITY ASSESSMENT 7. 4 Outline of Part II 161 162 163 163 164 8. 5 Summary 9. 1 Computational efficiency, for real-time applications? 2 Interpretability and physical insight? 3 Management of uncertainties? 229 230 231 232 232 232 xii AUTOMATIC LEARNING IN POWER SYSTEMS 12. 1 What is probabilistic security assessment? 3 Developing industrial grade tools Part III 235 235 236 238 239 241 241 241 242 AUTOMATIC LEARNING APPLICATIONS IN POWER SYSTEMS 13.

6 Further reading Chapter References 6. 3 Discussion Part II 138 138 138 140 140 141 142 144 145 145 146 146 146 147 149 150 154 156 APPLICATION OF AUTOMATIC LEARNING TO SECURITY ASSESSMENT 7. 4 Outline of Part II 161 162 163 163 164 8. 5 Summary 9. 1 Computational efficiency, for real-time applications? 2 Interpretability and physical insight? 3 Management of uncertainties? 229 230 231 232 232 232 xii AUTOMATIC LEARNING IN POWER SYSTEMS 12. 1 What is probabilistic security assessment? 3 Developing industrial grade tools Part III 235 235 236 238 239 241 241 241 242 AUTOMATIC LEARNING APPLICATIONS IN POWER SYSTEMS 13.

Power system problems to which automatic learning can be applied are screened and the complementarity of automatic learning in general with respect to analytical methods and numerical simulation are investigated. About the title The book is entitled "Automatic learning techniques in power systems" suggesting a very broad application scope. However, the reader will notice that the core of the applications discussed concerns security assessment related subjects. This is so for several good and less good reasons.

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Automatic Learning Techniques in Power Systems by Louis A. Wehenkel


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