Sienna\Data
Efficiently input and use energy systems data
Exceptional performance for large data
Features and Capabilities
Key Features
- Comprehensive, extensible library of data structures for energy systems modeling
- Well-defined user interface
- Large-scale dataset development tools based on common text-based data formats (e.g., PSS/e .raw and .dyr, and MATPOWER .m) and configurable tabular data (e.g., CSV) parsing capabilities
- Optimized container for component data and time series
Core Capabilities
- Efficient management of large quantities of time-series data, including time-series data for any device parameter
- Expanded access for more users to solve more problems as energy systems evolve
- Open-source sharing of publicly available data with a repository of 200+ data sets
- Optimized serialization of huge datasets into compressed file formats, allowing users to easily save and load data
- Comprehensive validation rules for every parameter of every device
- Consistent representation of millions of devices with automatic crosschecking for data compatability
How It Works
Sienna\Data has a modular framework with five core packages written in the Julia programming language. Use whichever combination is right for your use case. All packages are open-source, free to use, and have a command-line interface. See the Sienna Documentation Hub for each package's documentation, general installation instructions, and tutorials.
Sienna Documentation Hub