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- Publication Date: November 2007
- Publishing Organization: U.S. Department of Energy, Ernest Orlando Lawrence Berkeley National Laboratory
- Format: PDF
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
This paper presents the evaluation of three different methods for determining zone temperature set point variations that limit peak electrical demand in buildings.