bessyopt
This is a simple repository where I try to put I practice what I'm learning about BESS optimisation.
It's mostly about OR application. Here you will not find anything disruptive in particular about forecasts, but rather very clean and solid code to handle the decision making in bettery dispatch.
In documentation you will find the papers I'm studying about the topic. In case you know better reference please send me a message!
Purpose
Learn OR by applying it in real world problems.
In papers folder you will find papers I studied and implemented.
Roadmap
✅ day ahead
⬜ rolling intraday
✅ linearisation of utility function (for risk management)
⬜ co-located assets (pv/wind + bess dispatch)
⬜ stochastic optimisation (handle uncertainty in forecasts)
Credits
Metadata
Release files for bessopt 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bessopt-0.1.4.tar.gz | 11.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bessopt-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.8 kB
Release files / bessopt-0.1.4.tar.gz
| Download URL | bessopt-0.1.4.tar.gz |
|---|---|
| Size | 11.4 kB |
| Tags | Source |
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Release files / bessopt-0.1.4-py3-none-any.whl
| Download URL | bessopt-0.1.4-py3-none-any.whl |
|---|---|
| Size | 11.5 kB |
| Tags | Python 3 |
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