Electric Power Engineering Research and Education: A festschrift for Gerald T. Heydt (Power Electronics and Power Systems)

This unique volume covers the most compelling areas of advance in electric power engineering, from distributed generation and dispatch to power quality improvement and energy storage. The authors particularly highlight the seminal contributions of Dr. Gerald T. Heydt in the development and teaching of these technological advances, which have impacted the power industry and academia over the last 4 decades in areas such as transmission and distribution engineering, power engineering education, and centers for power engineering research. · Explains cutting edge research and education ventures that are transforming the re-emerging electric power engineering field · Covers key issues in power quality, transmission engineering, energy storage and distributed generation · Highlights renowned Professor Gerald T. Heydt's seminal contributions to the field This unique volume covers some of the most compelling areas of advance in electric power engineering, from distributed generation and dispatch to power quality improvement and transmission systems engineering. The authors particularly highlight the seminal contributions of Professor Gerald T. Heydt in the development and teaching of these technological advances, which have impacted the power industry and academia over the last four decades in areas such as transmission and distribution engineering, power engineering education, and power quality

Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.

Covering pattern classification methods, this book focuses on the important issue of how to combine several classifiers together in order to achieve improved recognition performance. This work is useful to those involved in the area. It includes case studies that demonstrate 'real-world' applications. "Replete with case studies and real-world applications, this text will be of interest to academics and researchers in the field seeking both new classification tools and new uses for the old ones."--Jacket