Intelligent prognosis systems for wind power
This project demonstrated that further improvement and automation of wind power predictions within a 48-hour horizon is possible if the underlying tools such as WPPT (Wind Power Prediction Tool) undergo modification. Prediction accuracy is easily improved by using several providers of meteorological forecasts, and where data are based on different
Results
This project demonstrated that further improvement and automation of wind power predictions within a 48-hour horizon is possible if the underlying tools such as WPPT (Wind Power Prediction Tool) undergo modification. Prediction accuracy is easily improved by using several providers of meteorological forecasts, and where data are based on different models, this implies considerable wind power prediction improvements. The project interrelates closely with project 5766 ‘Improved wind power prediction’.
Key figures
Period:
2004 - 2007
Funding year:
2004
Own financial contribution:
1.31 mio. DKK
Grant:
2.07 mio. DKK
Funding rate:
61 %
Project budget:
3.37 mio. DKK
Category
Oprindelig title
Intelligente prognosesystemer til vindkraft
Programme
ForskEL
Technology
Wind
Case no.
6503
Participants
Danmarks Tekniske Universitet (DTU) (Main Responsible)
Partners and economy
Partner | Subsidy | Auto financing |
---|---|---|
No entries available. |
Contact
Kontakperson
Aalborg Nielsen, Henrik
Comtact information
DTU InformatikRichard Petersens Plads. Byg. 321
DK-2800 Kgs. Lyngby, Denmark
Aalborg Nielsen, Henrik , 45253351, han@imm.dtu.dk
Øvr. Partnere: Risø Nationallaboratoriet for Bæredygtig Energi (Risø DTU). Afd. for Vindenergi; Elsam; Energi E2; Ramløse- EDB