About

Summary

Prof. Dazhi Yang (杨大智) received his B.Eng., M.Sc., and Ph.D. degrees from the National University of Singapore in 2009, 2012, and 2015, respectively. Currently, he is a Professor with the School of Electrical Engineering and Automation, Harbin Institute of Technology. He has a profound interest in solar resource assessment, forecasting, and grid integration. He has been the youngest associate editor of the Solar Energy journal, which has 65 years of history, and since 2019, he has been one of the four Subject Editors of that journal. He is also the only representative of the International Energy Agency, Task 16, “Solar Resource for High Penetration and Large-Scale Applications,” from Asia. In the past decade, he authored more than 100 journal papers, with a total citation of 3879, and an H-index of 35. In 2020, he has been awarded with “国家海外高层次人才引进计划”. In 2020, he has been identified as one of the world’s top 2% scientists by Stanford University

Academic Appointments

2021–present Professor ,School of Electrical Engineering and Automation, Harbin Institute of Technology, China.
2015–2021 Scientist , Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore.
2011–2015 Research Engineer , Solar Energy Research Institute of Singapore & Department of Electrical and Computer Engineering, National University of Singapore, Singapore.

Service

2019–present Subject Editor , Solar Energy, Elservier. Resources and Meteorology, handles all submissions to the area—about 500 papers per year
2017–2019 Associate Editor , Solar Energy, Elservier. Solar Resources, Data Science
2013–present Reviewer . Atmospheric Environment, International Journal of Forecasting, and all major energy journals

Journal Publications

Journal IF of a particular year follows the JCR release for the same year（Corresponding author:§)

1. Yang, D. §, Wang, W., Gueymard, C.A., Hong, T., Kleissl, J., Huang, J., Perez, M.J., Perez, R., Bright, J.M., Xia, X., van der Meer, D., Peters, I.M., 2022. A review of solar forecasting and its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality. Renewable & Sustainable Energy Reviews, 161, 112348. https://doi.org/10.1016/j.rser.2022.112348 (IF:14.982).

2. Yang, D. §, van der Meer, D., 2021. Post-processing in solar forecasting: Ten overarching thinking tools. Renewable & Sustainable Energy Reviews, 140, 110735. https://doi.org/10.1016/j.rser.2021.110735 (IF:14.982).

3. Yang, D. §, Alessandrini, S., Antonanzas, J., Antonanzas-Torres, F., Badescu, V., Beyer, H.G., Blaga, R., Boland, J., Bright, J.M., Coimbra, C.F.M., David, M., Frimane, A, Gueymard, C.A., Hong, T., Kay, M.J., Killinger, S., Kleissl, J., Lauret, P., Lorenz, E., van der Meer, D., Paulescu, M., Perez., R., Perpinan-Lamigueiro, O., Peters, I.M., Reikard, G., Renne, D., Saint-Drenan, Y.-M., Shuai, Y., Urraca, R., Verbois, H., Vignola, F., Voyant, C., Zhang, J., 2020. Verification of deterministic solar forecasts. Solar Energy 210, 20–37. https://doi.org/10.1016/j.solener.2020.04.019 (Special Issue on Grid Integration, IF:5.742).

4. Yang, D. §, Kleissl, J., Wu, E., 2019. Operational solar forecasting for the real-time market. International Journal of Forecasting 35(4), 1499–1519. https://doi.org/10.1016/j.ijforecast.2019.03.009 (Special Section, IF:2.825).

5. Yang, D. §, Kleissl, J., Gueymard, C.A., Pedro, H.T.C., Coimbra, C.F.M., 2018. History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining. Solar Energy 168, 60–101. https://doi.org/10.1016/j.solener.2017.11.023 (Invited review, IF:4.374).