Artificial Intelligence supported Power Quality Prediction and Mitigation

Adrian Eisenmann (Autor)

Buch | Softcover

194 Seiten

2023
BoD – Books on Demand (Verlag)
978-3-7568-1233-2 (ISBN)

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This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time series forecasting, designed to profit especially from big data bases and complex pattern use cases as well as an Artificial Intelligence based Smart Demand Side Management framework to enable system inherent resources / components for minimization of harmonic disturbances is applied to measured power grid scenarios.

Erscheinungsdatum	03.12.2023
Reihe/Serie	Schriftenreihe des Instituts für Energieübertragung und Hochspannungstechnik ; 41
Sprache	englisch
Maße	148 x 210 mm
Gewicht	289 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Artificial Intelligence • Demand Side Management • machine learning • Power Quality • Time Series Forecasting
ISBN-10	3-7568-1233-2 / 3756812332
ISBN-13	978-3-7568-1233-2 / 9783756812332
Zustand	Neuware