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GitHub / ericmassip / Smart_Charging_Of_Electric_Vehicles
Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done with Pandas, data visualization with Matplotlib and Seaborn, matrix manipulation with Numpy, unit testing with the Unittest python library and neural network training and testing with Keras.
Stars: 13
Forks: 4
Open Issues: 13
License: None
Language: Jupyter Notebook
Repo Size: 49.1 MB
Dependencies:
89
Created: over 5 years ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
Dependencies
- Click ==7.0
- Jinja2 ==2.10.1
- Keras ==2.2.4
- Keras-Applications ==1.0.7
- Keras-Preprocessing ==1.0.9
- Markdown ==3.1
- MarkupSafe ==1.1.1
- PyJWT ==1.7.1
- PyYAML ==5.1
- Pygments ==2.3.1
- Send2Trash ==1.5.0
- Werkzeug ==0.15.3
- absl-py ==0.7.1
- adal ==1.2.1
- appnope ==0.1.0
- asn1crypto ==0.24.0
- astor ==0.7.1
- attrs ==19.1.0
- azure-cosmosdb-table *
- backcall ==0.1.0
- bleach ==3.1.0
- cffi ==1.12.2
- chardet ==3.0.4
- cryptography ==2.6.1
- cycler ==0.10.0
- decorator ==4.4.0
- defusedxml ==0.6.0
- entrypoints ==0.3
- gast ==0.2.2
- grpcio ==1.16.1
- h5py ==2.9.0
- idna ==2.8
- ipykernel ==5.1.0
- ipython ==7.5.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.4.2
- isodate ==0.6.0
- jedi ==0.13.3
- jsonschema ==3.0.1
- jupyter ==1.0.0
- jupyter-client ==5.2.4
- jupyter-console ==6.0.0
- jupyter-core ==4.4.0
- kiwisolver ==1.0.1
- matplotlib ==3.0.3
- mistune ==0.8.4
- mock ==2.0.0
- msrest ==0.6.6
- msrestazure ==0.6.0
- notebook ==5.7.8
- numpy ==1.16.3
- oauthlib ==3.0.1
- pandas ==0.24.2
- pandocfilters ==1.4.2
- parso ==0.4.0
- patsy ==0.5.1
- pbr ==5.1.3
- pexpect ==4.7.0
- pickleshare ==0.7.5
- prometheus-client ==0.6.0
- prompt-toolkit ==2.0.9
- protobuf ==3.6.1
- ptyprocess ==0.6.0
- pycparser ==2.19
- pyparsing ==2.4.0
- pyrsistent ==0.14.11
- python-dateutil ==2.8.0
- pytz ==2019.1
- pyzmq ==18.0.0
- qtconsole ==4.4.3
- requests ==2.21.0
- requests-oauthlib ==1.2.0
- scikit-learn ==0.20.3
- scipy ==1.2.1
- seaborn ==0.9.0
- six ==1.12.0
- statsmodels ==0.9.0
- tensorboard ==1.13.1
- tensorflow ==1.13.1
- tensorflow-estimator ==1.13.0
- termcolor ==1.1.0
- terminado ==0.8.2
- testpath ==0.4.2
- tornado ==6.0.2
- traitlets ==4.3.2
- urllib3 ==1.24.2
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.4.2