ts4uc
Tree Search for the UC Problem
This repo documents the research conducted for my PhD in RL for the Unit Commitment problem.
In particular, this gives the code I used to solve the UC problem with a variety of tree search methods, aided by RL agents trained in a simulated environment of the power system. The simulation environment can be found separately in the RL4UC package.
Tests
To run tests:
cd tests
pytest
Release files for ts4uc 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ts4uc-0.0.1.tar.gz | 54.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ts4uc-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.4 kB
Release files / ts4uc-0.0.1.tar.gz
| Download URL | ts4uc-0.0.1.tar.gz |
|---|---|
| Size | 54.2 kB |
| Tags | Source |
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Release files / ts4uc-0.0.1-py3-none-any.whl
| Download URL | ts4uc-0.0.1-py3-none-any.whl |
|---|---|
| Size | 70.2 kB |
| Tags | Python 3 |
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