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AI for Good Hackathon

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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.

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Select the problem your team is submitting the solution for
Predicting Future Solar Power Output from NOAA Weather Data
Predicting Future Solar Power Output from NOAA Weather Data

We designed computational model that can predict power output for each of JEA's solar farms from historical weather data.

Winner Winner
Jeremy Cantor Jack Swingle Aidan Doruska
0 0
Solar prediction
Solar prediction

Predict solar farm production from weather

Winner Winner
Troy Kidd Jason Swinehart Marion Forrest
0 0
PF
PF

Your optimal pathfinder

Winner Winner
Kris Roker Prajwol Lamichhane Michael Kimollo
1 0
mVRO
mVRO

Multi Vehicle Route Optimization with time frames and other constraints

Patrick Nelson Jacqueline Miller
0 0
Solar Auto ML
Solar Auto ML

NA

Huy Nguyen Marine Jovene Daniela Amalfi Ojeda
0 0
Predicting Solar Potential with LSTM
Predicting Solar Potential with LSTM

We conducted a short exploratory data analysis, cleaned and preprocessed the data, and modeled our data using LSTM.

Md. Shariful Islam Mehlam Shabbir Nazmul Kazi
0 0
Code Busters
Code Busters

Predicting solar panel power generation for everyday and emergency use (hurricanes, etc) on a macro and micro level

Andreas Ink Mahmoud Elbatouty
0 0

1 – 7 of 7

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