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Dynamic modeling and simulation of buildings, featuring fully differential models for parameter estimation and optimal control. Supports integration of semantic models for automatic model generation and fast implementation.
Google Open-Source Project: Stochastic building simulator and real-world dataset for training and benchmarking reinforcement learning agents in energy-efficient smart control environments. Built with Gym, TensorFlow Agents, and 6+ years of real building data.