AI for Good: Solar Power Generation Prediction

Inspiration

Climate change

What it does

Forecasting the solar power by each farm

How we built it

Used Auto ML that is provided by Azure. Additionaly, we also used Facebook Prophet to predict the data

Challenges we ran into

1. Clean the weather data.
2. Auto ML takes at least 20 mins to run a single solar farm, so we don't have enough time to run everything.

Accomplishments that we're proud of

Join the hackathon till the end. Worked on real world project. Worked on short time. Cleaned messy data

What we learned

Learned Azure and used Auto ML to forecast data

What's next for AI for Good: Solar Power Generation Prediction

Continue collecting data## Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AI for Good: Solar Power Generation Prediction

Built With

• ipynb
• py