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Best Practices in Renewable Energy Resourcing and Integration
Renewable energy forecasting is an enabling technology for low-cost integration of increasingly higher market penetration of low-carbon technologies into the power grid. This latest Special Collection Issue covers best practices in solar, wind and load forecasting for renewable energy integration and includes data sets for testing, development and for augmented reproducibility of methods and results.
Guest Editors: Carlos F. M. Coimbra and Jan Kleissl
EDITORIALS
Carlos F. M. Coimbra
Renewable Energy Integration
Binghui Li; Kwami Sedzro; Xin Fang; Bri-Mathias Hodge; Jie Zhang
Renewable Energy Resourcing and Forecasting
Vignesh Venugopal; Yuchi Sun; Adam R. Brandt
Solar Energy
Dazhi Yang
Renewable Energy Resourcing and Forecasting
Hugo T. C. Pedro; David P. Larson; Carlos F. M. Coimbra
Renewable Energy Resourcing and Forecasting
Hugo T. C. Pedro; Carlos F. M. Coimbra; Philippe Lauret
Renewable Energy Resourcing and Forecasting
Dazhi Yang
Solar Energy
Dazhi Yang; John Boland
Solar Energy
Dazhi Yang; Richard Perez