<--- Back to Details
First PageDocument Content
Prediction / Meteorology / Time / Weather prediction / Statistical forecasting / Mesoscale meteorology / Wind / Wind power / Wind power forecasting / Forecasting / Numerical weather prediction / Weather forecasting
Date: 2012-12-13 10:18:42
Prediction
Meteorology
Time
Weather prediction
Statistical forecasting
Mesoscale meteorology
Wind
Wind power
Wind power forecasting
Forecasting
Numerical weather prediction
Weather forecasting

Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa

Add to Reading List

Source URL: www.dcc.fc.up.pt

Download Document from Source Website

File Size: 267,16 KB

Share Document on Facebook

Similar Documents

The 17th IHP Training Course “Numerical Prediction of High-Impact Weather Systems” 2-15 December, 2007, Nagoya, Japan 名古屋大学にて講義/  現地見学/

The 17th IHP Training Course “Numerical Prediction of High-Impact Weather Systems” 2-15 December, 2007, Nagoya, Japan 名古屋大学にて講義/ 現地見学/

DocID: 1v4hU - View Document

Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers Josh Hacker, John Exby, Dave Gill National Center for Atmospheric Research

Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers Josh Hacker, John Exby, Dave Gill National Center for Atmospheric Research

DocID: 1sog4 - View Document

Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa

Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa

DocID: 1ru6X - View Document

4.3	 Collaborative	WRF-based	research	and	education	with	reproducible	 	 numerical	weather	prediction	enabled	by	software	containers. Hacker,	Josh,	John	Exby,	David	Gill,	National	Center	for	Atmospheric	Research,	and	 Ca

4.3 Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers. Hacker, Josh, John Exby, David Gill, National Center for Atmospheric Research, and Ca

DocID: 1rsMh - View Document

2016 HEPEX Workshop, Quebec, Canada Ensemble for better hydrological forecasts Day 1: 6 June: Registration and coffee

2016 HEPEX Workshop, Quebec, Canada Ensemble for better hydrological forecasts Day 1: 6 June: Registration and coffee

DocID: 1rkoJ - View Document