Benutzer: Gast  Login

Dokumenttyp:
Masterarbeit
Autor(en):
Thiago Lima Carneiro
eMail-Adresse:
thiago.carneiro@tum.de
Titel:
Efficient Uncertainty Quantification for Power Networks
Abstract:
The emergence of renewable energy sources (RES) introduces new gateways of uncertainty within power grid networks, necessitating robust and efficient probabilistic models to account for the inherent variability. This variability stems from renewable energy generation and various other factors, including load fluctuations and technical failures. Developing and applying such probabilistic methods is crucial for ensuring that policy-makers can make informed decisions based on reliable information,...     »
Aufgabensteller:
Bungartz, Hans-Joachim
Betreuer:
Kislaya Ravi
Kooperationspartner:
Siemens Technology
Jahr:
2024
Quartal:
3. Quartal
Jahr / Monat:
2024-07
Monat:
Jul
Sprache:
en
Hochschule / Universität:
Technical University of Munich
Fakultät:
TUM School of Computation, Information and Technology
 BibTeX