Anomaly detection in premise energy consumption data

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2011, Pages

  Zhang, Yi ^a   Chen, Weiwei ^a   Black, Jason ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTION METHODS; ANOMALY-DETECTION ALGORITHMS; DATA POINTS; DATA SETS; DEMAND RESPONSE PROGRAMS; DETECTION MODELS; ESTIMATION ALGORITHM; MARKET NEEDS; NUMERICAL RESULTS; REBOUND EFFECT; REDUCTION IN ENERGY CONSUMPTION; SMALL SAMPLE SIZE; TIME-PERIODS;

ALGORITHMS; CUSTOMER SATISFACTION; ELECTRIC UTILITIES; ENERGY UTILIZATION; FORECASTING; NUMERICAL METHODS;

ELECTRIC LOAD FORECASTING;

EID: 82855163956     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2011.6039858     Document Type: Conference Paper

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