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The paper presents the Community-based Hierarchical Energy Systems Coordination Algorithm (CHESCA), which won the control track of the 2023 CityLearn Challenge. CHESCA effectively manages building energy systems by optimizing energy consumption, reducing CO2 emissions, and maintaining occupant comfort, while overcoming challenges related to data scarcity. The authors detail their approach, experimental results, and how it integrates traditional control systems with machine learning techniques for improved g

Author

charmingisbest888

Language

EN