https://github.com/rudrowo/weather-and-power-analysis
Analyzing correlation between various weather variables and power consumption in Bangladesh
https://github.com/rudrowo/weather-and-power-analysis
machine-learning regression-analysis web-scraping
Last synced: over 1 year ago
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Analyzing correlation between various weather variables and power consumption in Bangladesh
- Host: GitHub
- URL: https://github.com/rudrowo/weather-and-power-analysis
- Owner: rudrOwO
- Created: 2023-10-14T09:12:48.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-13T19:45:40.000Z (over 2 years ago)
- Last Synced: 2025-01-24T19:19:58.330Z (over 1 year ago)
- Topics: machine-learning, regression-analysis, web-scraping
- Language: Jupyter Notebook
- Homepage:
- Size: 5.49 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Correlating Weather Variables with Power Demands in Bangladeshi Divisions
## Data
### Available Data
Open `data/csv` folder to view already retreived data.
### Retreive Data Yourself
In the `data` folder,
- Navigate to the `retreiver` folder and run `npm i` or equivalent to install dependencies
- Run `npm csv ` or equivalent to generate and write csv files in the `csv` folder
- Date format: yyyy-mm-dd
- Allowed range: 2016-01-01 to 2023-09-30
- Division names: barisal, chittagong, comilla, dhaka, khulna, mymensingh, rajshahi, rangpur, sylhet
## Regression Insights
View regression notebooks and insights in the regression folder (work in progress)
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Data Sources:
- [Bangladesh Power Development Board](http://119.40.95.168/bpdb/area_wise_demand)
- [Open Meteo Weather API](https://open-meteo.com/)