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A Data-Driven Method for Determining Zone Temperature Trajectories that Minimize Peak Electrical Demand

Nov. 30, 2009

U.S. Department of Energy, Ernest Orlando Lawrence Berkeley National Laboratory

Kyoung-ho Lee, James E. Braun

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This paper extends the weighted-averaging (WA) method that estimates building zone temperature set-point variations that minimize peak cooling demand during critical demand periods to air conditioning power demand and presents the results of a field evaluation for a small commercial building.

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