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GitHub / How-Wang / Electricity_Forecasting
⚡ Predict the the operating reserve value in Taiwan
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/How-Wang%2FElectricity_Forecasting
Stars: 1
Forks: 1
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 14.9 MB
Dependencies:
75
Created: about 2 years ago
Updated: 11 months ago
Last pushed: 11 months ago
Last synced: 11 months ago
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Dependencies
requirements.txt
pypi
- Bottleneck ==1.3.4
- Cython ==0.29.28
- LunarCalendar ==0.0.9
- Pillow ==9.0.1
- PyMeeus ==0.5.10
- Pygments ==2.7.4
- arviz ==0.12.0
- autopep8 ==1.5.7
- backcall ==0.2.0
- certifi ==2021.10.8
- cftime ==1.6.0
- colorama ==0.4.4
- convertdate ==2.4.0
- cycler ==0.11.0
- dcor ==0.5.3
- decorator ==4.4.2
- ephem ==4.1.3
- fonttools ==4.31.2
- hijri-converter ==2.2.3
- holidays ==0.13
- importlib-metadata ==4.11.3
- ipykernel ==5.3.4
- ipython ==7.31.1
- ipython_genutils ==0.2.0
- jedi ==0.18.1
- joblib ==0.17.0
- jupyter-client ==6.1.7
- jupyter-core ==4.6.3
- kiwisolver ==1.4.0
- korean-lunar-calendar ==0.2.1
- llvmlite ==0.38.0
- matplotlib ==3.5.1
- minepy ==1.2.5
- mkl-fft ==1.3.1
- mkl-random ==1.2.2
- mkl-service ==2.4.0
- munkres ==1.1.4
- netCDF4 ==1.5.8
- numba ==0.55.1
- numexpr ==2.8.1
- numpy ==1.21.5
- packaging ==21.3
- pandas ==1.4.1
- parso ==0.8.0
- patsy ==0.5.1
- pickleshare ==0.7.5
- pip ==21.2.2
- plotly ==5.6.0
- prompt-toolkit ==3.0.8
- prophet ==1.0.1
- pycodestyle ==2.7.0
- pyparsing ==3.0.4
- pystan ==2.19.1.1
- python-dateutil ==2.8.2
- pytz ==2021.3
- pywin32 ==301
- pyzmq ==19.0.2
- scikit-learn ==0.23.2
- scipy ==1.7.3
- setuptools ==58.0.4
- six ==1.16.0
- statsmodels ==0.12.0
- tenacity ==8.0.1
- threadpoolctl ==2.1.0
- toml ==0.10.2
- tornado ==6.0.4
- tqdm ==4.63.1
- traitlets ==5.0.5
- typing-extensions ==3.10.0.2
- unicodedata2 ==14.0.0
- wcwidth ==0.2.5
- wheel ==0.37.1
- wincertstore ==0.2
- xarray ==2022.3.0
- zipp ==3.7.0