Monitoring and Control of Electrical Power Systems using Machine Learning Techniques
Book Details
Format
Paperback / Softback
ISBN-10
0323999042
ISBN-13
9780323999045
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jan 23rd, 2023
Print length
352 Pages
Weight
584 grams
Dimensions
15.10 x 22.70 x 2.10 cms
Product Classification:
Electric motors
Ksh 22,850.00
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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms.
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