Detecting anomalous load data
Journal Article
·
· IEEE Trans. Power Syst.; (United States)
An automatic detector for a particular pattern of anomalous load research data, called a quiet period, is described. Quiet periods exhibit a reduction in electricity usage due to a change in the underlying load-causing processors, most likely the absence of household members. The detector uses pattern recognition methods to identify and flag quiet period data. Examples of quiet periods are presented and an annual distribution of quiet periods for a set of 298 homes is developed. The quiet period detector allows refinement of the standard practice of forecasting holiday periods.
- Research Organization:
- Scientific Systems, Inc., Cambridge, MA 02140
- OSTI ID:
- 6655200
- Journal Information:
- IEEE Trans. Power Syst.; (United States), Vol. PWRS-2:1
- Country of Publication:
- United States
- Language:
- English
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29 ENERGY PLANNING
POLICY AND ECONOMY
ELECTRIC UTILITIES
DATA ACQUISITION SYSTEMS
LOAD ANALYSIS
HOUSES
POWER DEMAND
DATA COVARIANCES
FORECASTING
HOUSEHOLDS
INFORMATION NEEDS
LOAD MANAGEMENT
PATTERN RECOGNITION
RESEARCH PROGRAMS
BUILDINGS
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PUBLIC UTILITIES
RESIDENTIAL BUILDINGS
296000* - Energy Planning & Policy- Electric Power
292000 - Energy Planning & Policy- Supply
Demand & Forecasting
298000 - Energy Planning & Policy- Consumption & Utilization
POLICY AND ECONOMY
ELECTRIC UTILITIES
DATA ACQUISITION SYSTEMS
LOAD ANALYSIS
HOUSES
POWER DEMAND
DATA COVARIANCES
FORECASTING
HOUSEHOLDS
INFORMATION NEEDS
LOAD MANAGEMENT
PATTERN RECOGNITION
RESEARCH PROGRAMS
BUILDINGS
MANAGEMENT
PUBLIC UTILITIES
RESIDENTIAL BUILDINGS
296000* - Energy Planning & Policy- Electric Power
292000 - Energy Planning & Policy- Supply
Demand & Forecasting
298000 - Energy Planning & Policy- Consumption & Utilization