Recently, several approaches have been proposed for load profiling, prediction and forecasting. It is mainly used for occupancy prediction and the development of optimized control approaches of building’s appliances (e.g., lighting and heating/air conditioning systems). Predicting electricity consumption represents one of most important information for efficient energy management in smart buildings. Among all commercial building types, standalone retail buildings provide the most absolute flexibility while medium office buildings have the most flexibility as a percentage of the rated power consumption. can be increased by 46 GW and decreased by 40 GW on peak summer days. The power consumption of commercial buildings in the U.S. It is found that cooling loads in commercial buildings offer more flexibility for increasing power consumption than for decreasing it. Based on building survey data, the number of commercial buildings in each group is estimated and used to calculate aggregate power flexibility. Department of Energy Commercial Prototype Building Models are used to represent an average building in each group and are simulated to characterize power flexibility. Commercial buildings are first grouped by building type and climate region. This paper presents a comprehensive characteristics analysis and potential assessment of the power flexibility from heating, ventilation, and air conditioning loads in commercial buildings in the U.S. Understanding the varying characteristics and aggregate potential of power flexibility from different building types considering regional diversity is critically important to actively engaging building resources in future eco-friendly, low-cost, and sustainable power systems.
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