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Digitalized-Energy-Systems
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opfgym
A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.
https://opf-gym.readthedocs.io
MIT License
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Clean up README
#31
thomaswolgast
opened
1 day ago
0
Extract observation space definition from base class
#30
thomaswolgast
opened
1 day ago
0
Differentiate between observations and states
#29
thomaswolgast
closed
7 hours ago
1
Add easy way to create multi-stage OPF and security-constrained OPF
#28
thomaswolgast
opened
4 days ago
0
Add reward class
#27
thomaswolgast
closed
6 days ago
0
Add reward class to allow for custom reward
#26
thomaswolgast
closed
6 days ago
0
Make base class more modular
#25
thomaswolgast
opened
1 week ago
0
Create test pipeline, #22
#24
thomaswolgast
closed
1 week ago
0
Re-evaluate simbench repair function
#23
thomaswolgast
opened
1 week ago
0
Setup CI/CD
#22
thomaswolgast
closed
1 day ago
1
Replace setup.py with pyproject.toml
#21
thomaswolgast
closed
1 week ago
0
19 split power flow and optimal pf methods into two methods respectively
#20
thomaswolgast
closed
1 week ago
0
Split power flow and optimal pf methods into two methods respectively
#19
thomaswolgast
closed
1 week ago
0
Test docs code examples automatically
#18
thomaswolgast
opened
1 week ago
0
Improve base class API
#17
thomaswolgast
closed
1 week ago
1
4 create serious docs instead of readme only
#16
thomaswolgast
closed
1 week ago
0
Add example for custom constraint
#15
thomaswolgast
closed
1 week ago
0
Update to more recent pandas version
#14
thomaswolgast
closed
1 week ago
2
Is it possible to define pure constraint satisfaction problems?
#13
thomaswolgast
closed
1 week ago
0
Add make function to create benchmark environments
#12
thomaswolgast
opened
2 weeks ago
0
Evaluate pwl_costs for the benchmark environments
#11
thomaswolgast
closed
2 weeks ago
1
Add dataset class to sample from
#10
thomaswolgast
opened
3 weeks ago
2
Support for other RL environment frameworks?
#9
thomaswolgast
opened
3 weeks ago
1
Simplify and clarify data range and sampling
#8
thomaswolgast
opened
3 weeks ago
1
Allow for piece-wise linear cost definition in pandapower
#7
thomaswolgast
closed
3 weeks ago
0
Add simple example of stochastic OPF
#6
thomaswolgast
closed
3 weeks ago
0
Add example for security-constrained OPF
#5
thomaswolgast
closed
4 weeks ago
0
Create serious docs instead of README only
#4
thomaswolgast
closed
1 week ago
0
Prevent side effects of baseline OPF
#3
thomaswolgast
closed
4 weeks ago
0
Use gymnasium's internal random seed
#2
thomaswolgast
closed
1 month ago
0
Simplify adding new constraints
#1
thomaswolgast
closed
2 weeks ago
2