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Table of Contents
1. Introduction to Monitoring and control of electrical power systems using machine learning techniques 2. Power quality disturbances in electrical power systems 3. Monitoring and control in electrical power systems 4. Benchmark Test Systems for the Validation of Power Quality Disturbance Studies 5. Advanced signal processing methods for monitoring and control of Electrical Power Systems 6. Monitoring of Electrical Power Systems based on Automatic Learning methods 7. Spatio-Temporal Data-Driving Methods for Monitoring of Electrical Power Systems 8. Data Analytic Applications for Monitoring of Electrical Power Systems 9. Trends in Monitoring and Control of Power Quality in Electrical Power Systems 10. Didactic examples of algorithm implementation

Monitoring and Control of Electrical Power

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Order before 4pm today for delivery by Fri 19 Dec 2025.

A Paperback by Emilio Barocio Espejo, Felix Rafael Segundo Sevilla, Petr Korba

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    View other formats and editions of Monitoring and Control of Electrical Power by Emilio Barocio Espejo

    Publisher: Elsevier Science
    Publication Date: 1/23/2023 12:00:00 AM
    ISBN13: 9780323999045, 978-0323999045
    ISBN10: 0323999042
    Also in:
    Technology, Engineering & Agriculture Electric motors Electrical engineering

    Description

    Book Synopsis


    Table of Contents
    1. Introduction to Monitoring and control of electrical power systems using machine learning techniques 2. Power quality disturbances in electrical power systems 3. Monitoring and control in electrical power systems 4. Benchmark Test Systems for the Validation of Power Quality Disturbance Studies 5. Advanced signal processing methods for monitoring and control of Electrical Power Systems 6. Monitoring of Electrical Power Systems based on Automatic Learning methods 7. Spatio-Temporal Data-Driving Methods for Monitoring of Electrical Power Systems 8. Data Analytic Applications for Monitoring of Electrical Power Systems 9. Trends in Monitoring and Control of Power Quality in Electrical Power Systems 10. Didactic examples of algorithm implementation

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