Prof Ke Li | Causual inference

Prof. Ke Li | Leading Researcher in Causual inference

Congratulations,Prof Ke Li  on winning the esteemed Best Scholar Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Prof Ke Li Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

👨‍🏫 Positions

Head, Hunan Institute for Carbon Peaking and Carbon Neutrality, China (2022 – Present)

Professor, Hunan Normal University, China (2017 – Present)

📚 Teaching:

Graduate Courses: Introduction to Econometrics, Statistical Learning

Undergraduate Courses: Advanced Econometrics, Energy and Environmental Statistics

🏆 Awards:

World’s Top 2% Scientists, 2020~2023

Elsevier China’s Highly Cited Scholars, 2020~2023

Award for natural science in Hunan province (2018) for Research on Methodology and Application of Green Growth Performance Evaluation in China

🔍 Journal Review:

Referee for more than 50 Journals including Applied Energy, Energy Policy, Journal of Cleaner Production, Sustainability, and others

📖 Publications  Top Note :

Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network    paper published in January 2023 cite by 31

Measuring total-factor energy environment efficiency, energy-saving and carbon emission-reduction potential in China’s food industry: Based on a meta-frontier slacks-based measure model   paper published in January 2023

Spatiotemporal characteristics of PM<sub>2.5</sub> and ozone concentrations in Chinese urban clusters  paper published in 2022