This project aims to install a two-way control and metering architecture to improve energy efficiency and resilience of community-based district energy systems. This system will utilize a microauctioning control platform that treats all utility producers and users as individual economic agents and a genetic algorithm solver to simulate millions of possible outcomes, identifying the optimal operation mode based on system configuration and utility pricing.
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