Comparative study on load forecasting technologies for different geographical distributed loads

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2011, Pages

  Fan, Shu ^a   Wu, Yuan Kang ^b   Lee, Wei Jen ^c   Lee, Ching Yin ^d  

^a MONASH UNIVERSITY   (Australia)

^b NATIONAL PENGHU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^d TUNGNAN UNIVERSITY   (Taiwan)

Author keywords

Load diversity; Load forecasting; Multi region; Risk Assessment; Two Stage Combination

Indexed keywords

COMPARATIVE STUDIES; DISTRIBUTED LOADS; DISTRIBUTION FEEDERS; EFFECTIVE SOLUTION; FORECASTING ACCURACY; FORECASTING MODELS; FORECASTING SYSTEM; FREQUENCY-DOMAIN METHODS; GEOGRAPHICAL AREA; LARGE SYSTEM; LOAD CONDITION; LOAD DIVERSITY; LOAD FORECASTING; LOAD VARIATIONS; LOCAL LOADS; MICRO GRID; MULTI-REGION; OPTIMAL REGIONS; RISK EVALUATION; SMALL AREA; TIME DOMAIN; TWO STAGE; WEATHER CONDITIONS;

CURRENT LIMITING REACTORS; ELECTRIC UTILITIES; FEEDING; FREQUENCY DOMAIN ANALYSIS; QUEUEING NETWORKS; RISK ASSESSMENT; TIME DOMAIN ANALYSIS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 82855176779     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2011.6039364     Document Type: Conference Paper

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