User: Guest  Login

Document type:
Masterarbeit
Author(s):
Thiago Lima Carneiro
E-mail address:
thiago.carneiro@tum.de
Title:
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,...     »
Supervisor:
Bungartz, Hans-Joachim
Advisor:
Kislaya Ravi
Cooperation:
Siemens Technology
Year:
2024
Quarter:
3. Quartal
Year / month:
2024-07
Month:
Jul
Language:
en
University:
Technical University of Munich
Faculty:
TUM School of Computation, Information and Technology
 BibTeX