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Evaluation of Methods for Determining Demand-Limiting Set point Trajectories in Buildings Using Short-Term Measurements

Publication Date: November 2007
Publishing Organization: U.S. Department of Energy, Ernest Orlando Lawrence Berkeley National Laboratory
Format: PDF
Authors: Kyoung-Ho Leea, James E. Brauna
Keywords:

aggregated buildings, building cooling loads, buildings, capture dynamics, commercial building, commercial buildings, data driven, demand-limiting, doe - lbl, hourly data, inverse models, limit peak electrical demand, load data, methods, nonlinear regression techniques, peak cooling demand, set point trajectories, set point variations, short time scale, short-term measurements, simple building models, simulation, smart grid, technical paper, zone temperature

Summary:

This paper presents the evaluation of three different methods for determining zone temperature set point variations that limit peak electrical demand in buildings.

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