%0 Journal Article %1 Lei.Shiyan.ea2008 %A Lei, M. %A Shiyan, L. %A Chuanwen, J. %A Hongling, L. %A Yan, Z. %D 2008 %J Renewable and Sustainable Energy Reviews %K Artificial Physical Spatial Statistic Wind correlation forecasting, generation, intelligence, models, power speed %T A Review on the Forecasting of Wind Speed and Generated Power %X In the world, wind power is rapidly becoming a generation technology of significance. Unpredictability and variability of wind power generation is one of the fundamental difficulties faced by power system operators. Good forecasting tools are urgent needed under the relevant issues associated with the integration of wind energy into the power system. This paper gives a bibliographical survey on the general background of research and developments in the fields of wind speed and wind power forecasting. Based on the assessment of wind power forecasting models, further direction for additional research and application is proposed.

@article{Lei.Shiyan.ea2008, abstract = {In the world, wind power is rapidly becoming a generation technology of significance. Unpredictability and variability of wind power generation is one of the fundamental difficulties faced by power system operators. Good forecasting tools are urgent needed under the relevant issues associated with the integration of wind energy into the power system. This paper gives a bibliographical survey on the general background of research and developments in the fields of wind speed and wind power forecasting. Based on the assessment of wind power forecasting models, further direction for additional research and application is proposed.}, added-at = {2011-09-01T13:26:03.000+0200}, author = {Lei, M. and Shiyan, L. and Chuanwen, J. and Hongling, L. and Yan, Z.}, biburl = {https://www.bibsonomy.org/bibtex/27e42ab4c6d220bfa775c4f4239759989/procomun}, file = {Lei.Shiyan.ea2008.pdf:Lei.Shiyan.ea2008.pdf:PDF}, interhash = {bec6620bbd1e11b2efff10cddad47865}, intrahash = {7e42ab4c6d220bfa775c4f4239759989}, journal = {Renewable and Sustainable Energy Reviews}, keywords = {Artificial Physical Spatial Statistic Wind correlation forecasting, generation, intelligence, models, power speed}, owner = {oscar}, refid = {Lei.Shiyan.ea2008}, timestamp = {2011-09-02T08:25:25.000+0200}, title = {A Review on the Forecasting of Wind Speed and Generated Power}, year = 2008 }