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https://github.com/saradindusengupta/solar-power-forecasting
This project is part of my final semester project work for M.Sc degree. The main scope and target here is to forecast annual solar power output from geographic locations from Asia (depends on data) and then reduce the total soft cost incurred . The work is detailed in the documentation and project report provided below.
https://github.com/saradindusengupta/solar-power-forecasting
aws keras neural-network random-forest regression sklearn
Last synced: 4 days ago
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This project is part of my final semester project work for M.Sc degree. The main scope and target here is to forecast annual solar power output from geographic locations from Asia (depends on data) and then reduce the total soft cost incurred . The work is detailed in the documentation and project report provided below.
- Host: GitHub
- URL: https://github.com/saradindusengupta/solar-power-forecasting
- Owner: saradindusengupta
- Created: 2018-05-29T21:15:41.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-05-29T21:24:39.000Z (over 6 years ago)
- Last Synced: 2024-02-12T13:56:20.375Z (9 months ago)
- Topics: aws, keras, neural-network, random-forest, regression, sklearn
- Language: Jupyter Notebook
- Size: 1.38 MB
- Stars: 9
- Watchers: 3
- Forks: 3
- Open Issues: 0