TY - GEN
T1 - Adaptive gaussian process for short-term wind speed forecasting
AU - Jiang, Xiaoqian
AU - Dong, Bing
AU - Xie, Le
AU - Sweeney, Latanya
PY - 2010
Y1 - 2010
N2 - We study the problem of short term wind speed prediction, which is a critical factor for effective wind power generation. This is a challenging task due to the complex and stochastic behavior of the wind environment. Observing various periods in the wind speed time series present different patterns, we suggest a nonlinear adaptive framework to model various hidden dynamic processes. The model is essentially data driven, which leverages non-parametric Heteroscdastic Gaussian Process to model relevant patterns for short term prediction. We evaluate our model on two different real world wind speed datasets from National Data Buoy Center. We compare our results to state-of-arts algorithms to show improvement in terms of both Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).
AB - We study the problem of short term wind speed prediction, which is a critical factor for effective wind power generation. This is a challenging task due to the complex and stochastic behavior of the wind environment. Observing various periods in the wind speed time series present different patterns, we suggest a nonlinear adaptive framework to model various hidden dynamic processes. The model is essentially data driven, which leverages non-parametric Heteroscdastic Gaussian Process to model relevant patterns for short term prediction. We evaluate our model on two different real world wind speed datasets from National Data Buoy Center. We compare our results to state-of-arts algorithms to show improvement in terms of both Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).
UR - http://www.scopus.com/inward/record.url?scp=77956037312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956037312&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-606-5-661
DO - 10.3233/978-1-60750-606-5-661
M3 - Conference contribution
AN - SCOPUS:77956037312
SN - 9781607506058
T3 - Frontiers in Artificial Intelligence and Applications
SP - 661
EP - 666
BT - ECAI 2010
PB - IOS Press
T2 - 2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
Y2 - 17 August 2010 through 17 August 2010
ER -