Sustaining POWER

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  GitHub Repo README

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  Live Demo

A predictive analytics platform that forecasts global energy demand and visualizes sustainability gaps to support the UN SDG 7: Affordable and Clean Energy.

Inspiration

The urgency of climate change and unequal energy access motivated the creation of a forward-looking energy planning tool.

What it does

Forecasts energy consumption per capita and visualizes national energy systems through charts and maps.

How we built it

Using Python Machine Learning models, Polars data processing, and a lightweight interactive web frontend.

Challenges we ran into

Data cleaning, model comparison, and balancing interpretability with accuracy.

Accomplishments that we're proud of

End-to-end predictive system with real sustainability relevance.

What we learned

Energy transitions require both data insight and accessible visualization.

What's next for Sustaining POWER

Carbon Dioxide emission forecasting, SDG score benchmarking, and perhaps regional sub-national analysis.

Sources Cited

Dataset: Ansh Tanwar (Kaggle), 2023

Tanwar, A. (2023, August 19). Global Data on Sustainable Energy (2000-2020). Kaggle. https://www.kaggle.com/datasets/anshtanwar/global-data-on-sustainable-energy

Built With

• css
• flask
• github
• html
• javascript
• numpy
• polars
• python
• scikit-learn