Operating hours survey data to improve estimates of DSM program impacts on load forecasts

Technical Report · Mon May 01 04:00:00 EDT 1995

OSTI ID:103291

Tannenbaum, B; Sumi, D ^[1]; Flygt, F ^[2]

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1. HBRS, Inc., Madison, WI (United States)
2. Independent Consultant, Madison, WI (United States)

An effective approach to reducing error in both utility DSM impact estimates and in end-use load forecasts is to collect detailed data on daily operating schedules for key equipment technologies. Utility DSM programs are targeted to equipment that either uses a considerable amount of energy or contributes significantly to peak demand. Energy usage is a function of how many hours the equipment is operated, and peak demand is a function of when the equipment is operated. Thus, end-use load forecasts, and the effects of DSM program impacts on these forecasts, are also dependent on assumptions regarding equipment operating hours and schedules. The traditional load forecasting reliance on end-use metering for collecting equipment usage schedule data is often prohibitively expensive, and may not capture some important components of DSM program impacts (e.g., snap-back, differences between DSM program participants and nonparticipants, pre- to post-program changes in load shape, etc.). Also, hours-of-operation data can be useful for confirming end-use metering data when these are collected, and the survey data can then facilitate generalizations to larger populations. This information is almost certain to refine load forecast assumptions and result in more accurate forecasts.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (United States); Pacific Consulting Services, Albany, CA (United States)
• OSTI ID: 103291
• Report Number(s): EPRI-TR--105012; CONF-930969--
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
DATA ACQUISITION
ELECTRIC UTILITIES
FORECASTING
LIGHTING SYSTEMS
LOAD MANAGEMENT
POWER DEMAND