Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems Probabilistic and Machine Learning Approaches /
This book tackles the technical challenges of integrating renewable energy sources into power grids to reduce exposure to significant financial and operational risks. It does so by introducing advanced methods for harmonic estimation and forecasting in sparsely monitored and uncertain power networks...
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| Format: | Elektronički e-knjiga |
| Jezik: | engleski |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Izdanje: | 1st ed. 2025. |
| Serija: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Teme: | |
| Online pristup: | https://doi.org/10.1007/978-3-031-99048-9 |
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Sadržaj:
- Introduction
- Power System Harmonic Modelling
- Harmonic Simulation Studies
- Probabilistic Harmonic Estimation in Non-Radial Distribution Networks
- Application of Machine Learning for Harmonic Estimation in Transmission Networks
- Robustness of the Methodology for Harmonic Forecasting in Transmission Networks
- Conclusions and Future Work
- Appendices.