SymEnergy
Symbolic modelling of energy systems, based on SymPy.
SymEnergy provides a framework for the structured solution of cost-optimization of energy systems using the standard Lagrange multiplier approach. The result consists in the close-form analytical solutions to the optimization problem. For example, the energy production from a power plant is expressed as a function of the vector of symbolic parameters. These solutions are evaluated for certain parameters in order to identify relevant constraint combinations.
Installation
pip install symenergy
Documentation
Source
1 maintainer
Metadata
1 maintainer
Release files for SymEnergy 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SymEnergy-1.0.7.tar.gz | 81.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SymEnergy-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 174.7 kB
Release files / SymEnergy-1.0.7.tar.gz
| Download URL | SymEnergy-1.0.7.tar.gz |
|---|---|
| Size | 81.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.8
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Release files / SymEnergy-1.0.7-py3-none-any.whl
| Download URL | SymEnergy-1.0.7-py3-none-any.whl |
|---|---|
| Size | 93.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.8
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