We introduce novel methods for (1) inferring occupant activities and schedules based on plug load sensor data, and (2) clustering occupants by activity patterns to create optimal layouts that take advantage of controllable HVAC and lighting systems. . Wind plant layout optimization is a difficult, complex problem with a large number of variables and many local minima. For large, multi-MW or GW-scale projects, even minor design inefficiencies can meaningfully affect energy yield, Electrical Balance of System (EBoS) costs, constructability, and ultimately. . In utility-scale solar development, few tasks are as foundational to long-term success as utility-scale solar layout optimization. We will deploy smart and connected plug load energy sensors. . This review explores the application of simulation-based multi-objective optimization techniques in the context of studying the impact of space layout design on building energy efficiency.
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