No asset time-series loaded. Select a line, transformer, or bus from the Network Analysis page. If the page reopens empty after scenario switching, navigate back to the network page and reselect the asset.
Asset Time-Series Evaluation
Detailed time-series analysis of individual network assets — lines, transformers, and buses — over the full simulation period. This view supports identification of loading patterns, recurring stress events, and the temporal distribution of utilization. Navigate here by selecting an asset from the Network Analysis page.
Key questions
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When does this asset reach peak loading?
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Are there periodic patterns (daily, weekly cycles)?
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Is utilization consistently high or driven by rare peak events?
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How does loading correlate with market activity or generation patterns?
Usage note
Asset selection is made on the Network Analysis page via the component tables.
Methodology
Data from PandaPower result CSVs at the configured simulation time-step resolution.
Research-as-a-Service platform for studying the interaction between flexible energy assets, electricity markets, and distribution-grid operation.
Research & Development
The COSIM Cockpit platform is developed within the collaborative research and development activities of the Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics (IAEW) — Active Energy Distribution Grids group — at RWTH Aachen University and the Fraunhofer FIT research team Digitale Energie. The work combines academic expertise in active distribution networks, grid operation and planning, and flexibility integration with applied digital-energy system development and engineering-oriented analytical tooling.
Contact
Primary contact for this platform:
Steffen Kortmann
steffen.kortmann@fit.fraunhofer.de+49 241 80-92946Legal Notice
The COSIM Cockpit is a research and engineering platform developed at IAEW RWTH Aachen University and Fraunhofer FIT. Results are based on simulation models, modelling assumptions, and scenario-specific input data. Real-world system behaviour may differ from simulated outcomes. Analyses do not constitute operational guarantees or binding engineering assessments.
No warranty is provided regarding completeness, correctness, or fitness for a specific operational purpose. Users are responsible for independently validating conclusions before applying them to real-world decisions.
Research use only: This platform is designed exclusively for research and academic analysis. Results must not be used as the sole basis for investment, operational, or regulatory decisions without independent engineering validation.
Market data: Electricity price time series used in simulations (DAA/IDA from ENTSO-E Transparency Platform and EPEX Spot) are subject to the respective platform terms of use. Data are used solely for non-commercial academic research. Redistribution or commercial reuse requires separate authorisation from the original data provider.
Confidentiality: Simulation scenarios, configuration files, and result data may contain confidential project-specific information. Exported results and reports must not be shared beyond the intended audience without prior authorisation.
Technology & Open-Source Components
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Built on open-source software: Reflex (Apache 2.0), Plotly (MIT), pandapower (BSD 3-Clause), SimBench (Open Database License), pandas & NumPy (BSD 3-Clause).