Actual experience on the short-term wind power forecasting at Penghu - From an island perspective

2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

Volumn , Issue , 2010, Pages

  Wu, Yuan Kang ^a   Lee, Ching Ying ^b   Tsai, Shao Hong ^c   Yu, Sun Nien ^d  

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

^b TUNGNAN UNIVERSITY   (Taiwan)

^c HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

^d Chung Chuo Institute of Technology   (Taiwan)

Author keywords

AI technologies; Forecast technologies; Penghu wind farm; Statistical models; Wind power

Indexed keywords

ADDITIONAL COSTS; AI TECHNOLOGIES; ARTIFICIAL INTELLIGENCE TECHNOLOGIES; CAPITAL COSTS; COMMERCIAL VIABILITY; FORECAST TECHNOLOGIES; FORECASTING SYSTEM; INPUT VARIABLES; METEOROLOGICAL INFORMATION; NUMERICAL WEATHER PREDICTION; ON-LINE MEASUREMENT DATA; PENGHU WIND FARM; POWER NETWORKS; REAL EXAMPLE; RENEWABLE ENERGIES; SHORT TERM; SHORT-TERM FORECASTS; STATISTICAL MODELS; WIND FARM; WIND PENETRATION; WIND POWER FORECAST; WIND POWER FORECASTING; WIND TECHNOLOGY;

ARTIFICIAL INTELLIGENCE; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; FARMS; INNOVATION; POWER GENERATION; TECHNOLOGICAL FORECASTING; TECHNOLOGY; WEATHER FORECASTING; WIND POWER;

ELECTRIC LOAD FORECASTING;

EID: 78751511624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/POWERCON.2010.5666619     Document Type: Conference Paper

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