Final Project for the CS238: Decision Making Under Uncertainty course at Stanford University in Autumn '21.

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Overview

cs238-windfarm

Final Project -- Optimizing Wind Turbine Placement Subject to Turbine Wakes

This is the code for the Final Project of the CS238: Decision Making Under Uncertainty course at Stanford University (https://web.stanford.edu/class/aa228/cgi-bin/wp/) in Autumn '21. For this project, I collaborated with Yu Shen Lu and Peiyun Zhu.

We optimized wind turbine placement in a wind farm, subject to wake effects, using Q-learning. I worked especially on utilizing Q-learning in conjunction with Neural Networks to estimate the Q-values of unvisited states.

You can access the full paper describing our approach and results at https://drive.google.com/file/d/1C7j7oJPxmxfU-xEoCAaACzxqGy0f2Osk/view.

Our paper was also added to the course website: https://web.stanford.edu/class/aa228/cgi-bin/wp/old-projects/.

Owner
Manasi Sharma
MS CS student (AI/ML track) at @stanford with an interest in Computer Vision; BA in CS and Physics at @columbia
Manasi Sharma
GitHub Repository https://drive.google.com/file/d/1C7j7oJPxmxfU-xEoCAaACzxqGy0f2Osk/view
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