| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1 Derivation of generic equivalent models for distribution network analysis using artificial intelligence techniques -- l2 Disturbance dataset development for machine-learning-based power quality monitoring in distributed generation systems: a practical guide -- l3 Advances in compression algorithms for PMU and Smart Meter data based on tensor decomposition -- l4 Machine learning and digital twins: monitoring and control for dynamic security in power systems -- l5 Synchrophasor applications in distribution systems: real-life experience -- l6 A graph mapping based supervised machine learning strategy for PMU voltage anomalies' detection and classification in distribution networks -- l7 Identification of source harmonics in electrical networks using spatiotemporal approaches -- l8 Power quality harmonic monitoring by the O-splines-based multiresolution signal decomposition -- l9 Monitoring system for identifying power quality issues in distribution networks using Petri nets and Prony method -- l10 Dynamic voltage restorer controlled per independent phases for power quality sags-swells mitigation under unbalanced conditions -- l11 AI application for load forecasting: a comparison of classical and deep learning methodologies -- l12 Study of harmonics in linear, nonlinear nonsinusoidal electrical circuits by geometric algebra -- l13 Harmonic sources estimation in distribution systems |
| Note |
Description based on online resource; title from digital title page (viewed on March 16, 2023). |
| Subject |
Electric power systems -- Control.
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Machine learning.
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Réseaux électriques (Énergie) -- Régulation.
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Apprentissage automatique.
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Electric power systems -- Control
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Machine learning
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| Added Author |
Espejo, Emilio Barocio, editor.
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Sevilla, Felix Rafael Segundo, editor.
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Korba, Petr, editor.
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| Other Form: |
Print version: 0323999042 9780323999045 (OCoLC)1321786639 |
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Print version: Monitoring and control of electrical power systems using machine learning techniques 9780323999045 (OCoLC)1351696310 |
| ISBN |
9780323984041 electronic book |
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0323984045 electronic book |
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9780323999045 |
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0323999042 |
| Standard No. |
AU@ 000073485905 |
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UKMGB 020808963 |
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AU@ 000074362621 |
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