Solar Irradiance and Photovoltaic Power Forecasting [Paperback]

1 Why we do solar forecasting.  2 Philosophical thinking tools.  3 Deterministic and probabilistic forecasts . 4 Solar forecasting: The new member of the band . 5 A guide to good housekeeping. 6 Data for solar forecasting. 7 Base methods for solar forecast generation. 8 Post-processing solar forecasts. 9 Deterministic forecast verification. 10 Probabilistic forecast verification. 11 Irradiance-to-power conversion with physical model chain. 12 Hierarchical forecasting and firm power delivery 

 

Forecasting plays an indispensable role in grid integration of solar energy, which is an important pathway towards the grand goal of achieving planetary carbon neutrality.

Professor Dazhi Yang received the B.Eng., M.Sc., and Ph.D. degrees from the Department of Electrical Engineering, National University of Singapore, Singapore, in 2009, 2012, and 2015, respectively. He is currently a Professor with the School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China. He has authored more than 130 journal articles, among which many are ESI highly cited papers. He is the current Subject Editor of Solar Resources and Energy Meteorology for the Solar Energy Journal, where he has handled over 1800 submissions. He is also an active participant of the International Energy Agency, Photovoltaic Power Systems Programme, Task 16: Solar Resource for High Penetration and Large Scale Applications.

Over several consecutive years, Dazhi Yang has been listed as one of the world's top 2% scientists (for both single year and career) by Stanford University. Similarly, he has also been consecutively listed as one of the world's top 100,000 scientists published by the Global Scholars Database. His resl“$