Categorization of minimum error forecasting zones using a geostatistic wind model

CPE 2009 - 6th International Conference-Workshop - Compatability and Power Electronics

Volumn , Issue , 2009, Pages 6-11

  Aguera A ^a   Ramiro, J G ^a   De La Rosa, J J G ^a   Melgar, J ^a   Palomares, J C ^a   Moreno, A ^a  

^a UNIVERSITY OF CÁDIZ   (Spain)

Author keywords

Geostatistic model; linear interpolation; Wind speed forecasting

Indexed keywords

ERROR FORECASTING; GEOSTATISTIC MODEL LINEAR INTERPOLATION; LINEAR INTERPOLATION; REAL MEASUREMENTS; WEATHER STATIONS; WIND DIRECTIONS; WIND MODELS; WIND RESOURCES; WIND SPEED; WIND SPEED FORECASTING;

ELECTRIC NETWORK ANALYSIS; INTERPOLATION; NUMERICAL CONTROL SYSTEMS; POWER ELECTRONICS; SPEED; WIND EFFECTS;

ELECTRIC LOAD FORECASTING;

EID: 70350366080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CPE.2009.5156005     Document Type: Conference Paper

References (8)

1. A. Derrick, Development of the measure-correlate-predict strategy for site assessment, Proceedings of the BWEA, 1992.
2. J.C. Woods, S.J. Watson, A new matrix method of predicting long-term wind roses with MCP, J. Wind Eng. Ind. Aerodyn. 66 (2) (1997) 85-94.
3. Anthony L. Rogers, John W. Rogers, James F. Manwell, Comparison of the performance of four measure-correlate-predict algorithms, J. Wind Eng. Ind. Aerodyn. 93 (2005) 243-264.
4. Morten Nielsen, A Method for Spatial Interpolation of Wind Climatologies, Wind Energy, 2, 151-166 (1999)
5. Thomas Boehme, A.Robin Wallace, Hindcasting Hourly Wind Power across Scotland Based on Met Station Data, Wind Energy 2008; 11: 233-244.
6. G. Matheron, Principles of geostatistics, Econ. Geol. 58 (1963) 1246-1266.
7. Zekai Sen, Ahmet Duran Sahin, J. Wind Eng. Ind. Aerodyn., 74-76 (1998) 345-353
8. H.J. Thiebaux, M.A. Pedder, Spatial Objective Analysis with Applications in Atmospheric Sciences, Academic Press, New York, 1987, 299 pp.