Identifying wind and solar ramping events

IEEE Green Technologies Conference

Volumn , Issue , 2013, Pages 147-152

  Florita, Anthony ^a   Hodge, Bri Mathias ^a   Orwig, Kirsten ^a  

^a NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

forecasting; solar energy; time series analysis; wind energy

Indexed keywords

OPERATION OF POWER SYSTEM; POWER SYSTEM MODEL; POWER VARIABILITY; PROBABILISTIC APPROACHES; SIMULATION RESEARCH; SWINGING DOOR ALGORITHMS; VARIABLE GENERATIONS; WIND AND SOLAR POWER;

COMPUTER SIMULATION; DATA COMPRESSION; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; SOLAR POWER GENERATION; TECHNOLOGY; TIME SERIES ANALYSIS; WIND POWER;

SOLAR ENERGY;

EID: 84884392422     PISSN: None     EISSN: 21665478     Source Type: Conference Proceeding    
DOI: 10.1109/GreenTech.2013.30     Document Type: Conference Paper

References (5)

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4. C.Hansen,J.Stein,and A.Ellis,"Statistical criteria for characterizing irradiance time series," Sandia National Laboratories,Albuquerque,NM,2010.
5. E.Bristol,"Swinging door trending: Adaptive trend recording?," in International Standards for Automation,1990.