Abstract
Part of the answer to rising energy needs and costs may literally be blowing in the wind. Among sustainable sources of electricity, only wind energy has the capacity and technology needed to compete in the open marketplace. The largest onshore wind farm in Europe is being built in Scotland, the largest in the USA is planned for southern California, and the biggest offshore wind farm production in the world is slated for the Thames Estuary. But wind is intermittent. Marc Genton and Amanda Hering explain how advanced statistical techniques will enable wind energy to be more efficiently incorporated into the electrical grid.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 11-14 |
| Number of pages | 4 |
| Journal | Significance |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2007 |
| Externally published | Yes |
Bibliographical note
Funding Information:We are grateful to Sandy Davis for helpful discussions on matters mathematical, to Robert Last for computational and graphics support, and to Wojtek Markiewicz for helpful discussions concerning MMV. We thank Ignacio Mosqueira, Steve Desch, Pat Cassen, Tony Dobrovolskis, and an anonymous reviewer for careful reading of the manuscript and helpful comments. This research was supported by grants to JNC from the Planetary Geology and Geophysics Program and the Origins of Solar Systems Program.
ASJC Scopus subject areas
- Statistics and Probability