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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
10.1063/5.0098482
Renewable Energy Integration
Binghui Li; Kwami Sedzro; Xin Fang; Bri-Mathias Hodge; Jie Zhang
10.1063/5.0006480
Renewable Energy Resourcing and Forecasting
Vignesh Venugopal; Yuchi Sun; Adam R. Brandt
10.1063/1.5122796
Solar Energy
Dazhi Yang
10.1063/1.5114985
Renewable Energy Resourcing and Forecasting
Hugo T. C. Pedro; David P. Larson; Carlos F. M. Coimbra
10.1063/1.5094494
Renewable Energy Resourcing and Forecasting
Hugo T. C. Pedro; Carlos F. M. Coimbra; Philippe Lauret
10.1063/1.5091952
Renewable Energy Resourcing and Forecasting
Dazhi Yang
10.1063/1.5088721
Solar Energy
Dazhi Yang; John Boland
10.1063/1.5087463
Solar Energy
Dazhi Yang; Richard Perez
10.1063/1.5087588
Solar Energy
Jamie M. Bright
10.1063/1.5085236