HIGHLIGHTS
- What: The authors evaluate the approach in smart office setting and show how enables reducing energy consumption by up to 30%. This work provides a solution for scheduling of energy systems (including HVAC) using AI Planning that focuses on cross-building portability and runtime adaptation. C. Solution overview To address the aforementioned challenges, this paper presents an approach for efficient scheduling of energy systems operations in smart buildings by leveraging AI Planning methodologies. The authors show how domain models and problem instances are created for generating schedules in energy systems.
- Who: Houssam Hajj Hassan and . . .
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