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GitHub / sandeshbhatjr / energy-prediction
What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandeshbhatjr%2Fenergy-prediction
Stars: 24
Forks: 3
Open Issues: 11
License: gpl-3.0
Language: Python
Repo Size: 12.5 MB
Dependencies:
1,572
Created: over 4 years ago
Updated: 4 months ago
Last pushed: 11 months ago
Last synced: 4 months ago
Commit Stats
Commits: 79
Authors: 2
Mean commits per author: 39.5
Development Distribution Score: 0.051
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/sandeshbhatjr/energy-prediction
Topics: day-ahead-market, deep-learning, electricity, energy-prediction, fourier-analysis, germany, lstm-neural-networks, sota-technique, time-series-analysis, time-series-forecasting
Files
Dependencies
- @fortawesome/fontawesome-free ^5.13.0
- @fortawesome/fontawesome-svg-core ^1.2.28
- @fortawesome/free-solid-svg-icons ^5.13.0
- @fortawesome/react-fontawesome ^0.1.9
- @testing-library/jest-dom ^4.2.4
- @testing-library/react ^9.5.0
- @testing-library/user-event ^7.2.1
- d3 ^5.16.0
- dateformat ^3.0.3
- react ^16.13.1
- react-datepicker ^2.14.1
- react-dom ^16.13.1
- react-scripts 3.4.0
- react-select ^3.1.0
- react-slider ^1.0.4
- serve ^11.3.0
- Click ==7.0
- Flask ==1.1.1
- Flask-Cors ==3.0.9
- Jinja2 ==2.11.3
- MarkupSafe ==1.1.1
- PyMeeus ==0.3.7
- Werkzeug ==1.0.0
- attrs ==19.3.0
- beautifulsoup4 ==4.8.2
- certifi ==2019.11.28
- chardet ==3.0.4
- convertdate ==2.2.0
- entsoe-py ==0.2.11
- holidays ==0.10.1
- idna ==2.9
- importlib-metadata ==1.6.0
- itsdangerous ==1.1.0
- jplephem ==2.13
- lunardate ==0.2.0
- more-itertools ==8.2.0
- numexpr ==2.7.1
- numpy ==1.18.1
- packaging ==20.3
- pandas ==1.0.1
- patsy ==0.5.1
- pluggy ==0.13.1
- py ==1.10.0
- pyCalverter ==1.6.1
- pyluach ==1.0.1
- pyparsing ==2.4.7
- pytest ==5.4.1
- python-dateutil ==2.8.1
- pytz ==2019.3
- requests ==2.23.0
- scipy ==1.4.1
- sgp4 ==2.4
- six ==1.14.0
- skyfield ==1.17
- skyfield-data ==0.1.0
- soupsieve ==2.0
- statsmodels ==0.11.1
- tables ==3.6.1
- urllib3 ==1.26.5
- wcwidth ==0.1.9
- zipp ==3.1.0