公开(公告)号：EP3314751B1

公开(公告)日：2020-09-02

申请号：EP16815281.7

申请日：2016-06-23

申请人： Qatar Foundation for Education, Science and Community Development

发明人： SANFILIPPO, Antonio ,  ASTUDILLO, Daniel Perez ,  BACHOUR, Dunia ,  MOHANDS, Nassma ,  POMARES, Luis

IPC分类号： H02S50/00 ,  H02S50/10 ,  G08B31/00 ,  G01R31/40

公开(公告)号：EP3314751A1

公开(公告)日：2018-05-02

申请号：EP16815281.7

申请日：2016-06-23

申请人： Qatar Foundation for Education, Science and Community Development

发明人： SANFILIPPO, Antonio ,  ASTUDILLO, Daniel Perez ,  BACHOUR, Dunia ,  MOHANDS, Nassma ,  POMARES, Luis

IPC分类号： H02S50/00 ,  H02S50/10 ,  G08B31/00 ,  G01R31/40

摘要： The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach. The resulting solar irradiance forecast predictions are then used to allocate the solar-based power systems (10) resources and modify demand when necessary in order to maintain a substantially constant voltage supply in the system (10).