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Showing 1 to 3 of 3 for “"customer comfort"”.
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Load Frequency Control for Electric Water Heater Using DBSCAN Algorithm in real-time
… frequency regulation while maintaining customer comfort. The approach employs Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to dynamically group water heaters based on their thermal state and operational flexibility, enabling coordinated response to grid …
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Development of a Software Platform with Distributed Learning Algorithms for Building Energy Efficiency and Demand Response Applications
… load curtailment. A convenient option for the customer to benefit from a DR program is to use automated DR algorithms within a software that can learn user comfort preferences for the building loads and make automated load curtailment decisions without affecting customer comfort. The objective …
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Algorithms and Simulation Framework for Residential Demand Response
… algorithms that intelligently controls the customers' heating, ventilating and air conditioning (HVAC) devices for providing DR services to the grid. The second solution is an extensible residential demand response simulation framework that can help evaluate and experiment with different …