TY - CHAP A1 - Seifried, Sebastian A1 - Storch, Sebastian A1 - Storch, Dominik J. A1 - Helmschrott, René A1 - Schaarschmidt, Kathrin A1 - Finkel, Michael T1 - Calculating the Infeed of Wind and PV-Systems for Future Grid Planning Based on Real Measurement Data T2 - IET Conference Proceedings KW - weather data KW - wind-energy-systems KW - modelling KW - grid integration KW - active power behaviour KW - actual ambient conditions KW - actual feed-in KW - actual installed capacity KW - electricity grid KW - power generation planning KW - future grid planning KW - high-voltage feeder KW - high-voltage grids KW - infeed KW - load profile generator KW - maximum feed-in KW - measurement data KW - photovoltaic systems KW - renewable energy systems deviates KW - resulting feed-in modelling KW - wind systems KW - power grids Y1 - 2024 UR - https://ieeexplore.ieee.org/document/10915856/ SN - 978-1-83724-212-2 U6 - https://doi.org/10.1049/icp.2024.3875 SN - 2732-4494 VL - 2024 IS - 2024,16 SP - 773 EP - 780 PB - Institution of Engineering and Technology (IET) ER - TY - CHAP A1 - Seifried, Sebastian A1 - Fischer, Simon A1 - Storch, Dominik J. A1 - Lechner, Tobias A1 - Finkel, Michael A1 - Witzmann, Rolf T1 - Implementation and Test of Frequency Estimation Methods for RoCoF-based Load Switching in Islanded Grids T2 - 27th International Conference on Electricity Distribution (CIRED 2023) KW - distributed power generation KW - frequency estimation KW - power distribution faults KW - power distribution protection KW - power grids Y1 - 2023 SN - 978-1-83953-855-1 U6 - https://doi.org/10.1049/icp.2023.1059 PB - IEEE ER - TY - CHAP A1 - Steinhart, Christoph A1 - Lechner, Tobias A1 - Seifried, Sebastian A1 - Storch, Dominik J. A1 - Finkel, Michael A1 - Kerber, Georg ED - Finkel, Michael T1 - LINDA Projects - Droop-Based Practical Examples T2 - Intended and Unintended Islanding of Distribution Grids Y1 - 2024 UR - https://digital-library.theiet.org/doi/book/10.1049/PBPO231E U6 - https://doi.org/10.1049/PBPO231E_ch11 IS - (IET Energy Engineering Series;231) SP - 319 EP - 338 PB - Institution of Engineering and Technology CY - London ER - TY - CHAP A1 - Storch, Sebastian A1 - Uhrig, Martin A1 - Finkel, Michael T1 - AI Supported Analysis of Faults Caused by Atmospheric Exposure in Medium and Low Voltage Grids for Evaluation and Development of Asset Management Strategies T2 - 27th International Conference on Electricity Distribution (CIRED 2023) KW - power engineering computing KW - asset management KW - risk management Y1 - 2023 SN - 978-1-83953-855-1 U6 - https://doi.org/10.1049/icp.2023.0863 SN - 2732-4494 IS - 2023,6 SP - 3291 EP - 3295 ER - TY - CHAP A1 - Storch, Sebastian A1 - Finkel, Michael A1 - Uhrig, Martin A1 - Kreißl, Michael A1 - Röttel, Marcus T1 - Distribution System State Estimation: A Comparison of Data-Driven Neural Networks and Model-Based Weighted Least Squares Method T2 - PESS 2025: IEEE Power and Energy Student Summit KW - neural network KW - least-squares KW - weighted least squares KW - distribution system state estimation KW - distribution network KW - neural network approach KW - smart meters KW - power grid KW - feed-forward network KW - microgrid KW - photovoltaic system KW - distribution system operator Y1 - 2026 SN - 978-3-8007-6656-7 U6 - https://doi.org/10.30420/566656021 SP - 121 EP - 126 PB - IEEE ER - TY - CHAP A1 - Storch, Sebastian A1 - Fendt, Daniel A1 - Finkel, Michael A1 - Uhrig, Martin A1 - Kreißl, Michael A1 - Behringer, Lothar T1 - Effects of the Measurement Data Resolution on the Derivable Value of Information T2 - IET Conference Proceedings Y1 - 2025 U6 - https://doi.org/10.1049/icp.2025.2183 SN - 2732-4494 IS - 2025,14 SP - 2805 EP - 2809 PB - Institution of Engineering and Technology (IET) ER - TY - CHAP A1 - Storch, Sebastian A1 - Fendt, Daniel A1 - Finkel, Michael A1 - Uhrig, Martin A1 - Kreißl, Michael A1 - Behringer, Lothar T1 - Improving Distribution System State Estimation: Novel Metadata Driven Approach for Pseudo Measurement Generation T2 - CIRED 2024 Vienna Workshop KW - distribution dystem state estimation KW - neural network Y1 - 2024 SN - 978-1-83724-122-4 U6 - https://doi.org/10.1049/icp.2024.1968 PB - IET ER -