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Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads
Author:
Denholm, P.; Ong, S.; Booten, C.
Year:
2012
Abstract:

This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

Document Type:
Report
Source:
NREL