An AI-powered Digital Twin MVP for optimizing data center placement in Thailand, factoring in climate, sea temperature profiles, energy, land costs, and cooling efficiency.
-
Updated
Jun 2, 2026 - Jupyter Notebook
An AI-powered Digital Twin MVP for optimizing data center placement in Thailand, factoring in climate, sea temperature profiles, energy, land costs, and cooling efficiency.
Add a description, image, and links to the thailand-climate topic page so that developers can more easily learn about it.
To associate your repository with the thailand-climate topic, visit your repo's landing page and select "manage topics."