Profile

Yun Bai received the bachelor degree of Statistics and the master degree of Management Science and Engineering from Beihang Univerisity, Beijing, China in 2018 and 2022.

Since 2022, he has been a doctoral student of the Center for Processes, Renewable Energies and Energy Systems (PERSEE), MINES Paris, PSL University in Sophia-Antipolis, France with the scholarship from China Scholarship Council (CSC). His supervisor and co-supervisor are Andrea Michiorri and Simon Camal.

Research

His research interests include time series forecasting and natural language processing. Now he is working on electricity load forecasting integrating with textual features from news or social media.

Publications

• Y. Bai, G. Tian, Y. Kang* , S. Jia (2023). A hybrid ensemble method with negative correlation learning for regression. Machine Learning.
• Y. Bai #, X. Li #, H. Yu, S. Jia (2022). Crude oil price forecasting incorporating news text. International Journal of Forecasting.
• X. Li #, Y. Bai #, Y. Kang* (2022). Exploring the social influence of the Kaggle virtual community on the M5 competition. International Journal of Forecasting.
• Y. Bai, S. Jia, L. Chen (2020). Topic evolution analysis of covid-19 news articles. 2020 4th International Conference on Electrical, Mechanical and Computer Engineering.
• Y. Bai, S. Jia, M. Wu (2020). InfluenceRank: An Improved Online Social Influence Model. 2020 International Conference on Advanced Education, Management and Information Technology.
• Y. Bai, S. Jia, S. Wang, B. Tan (2020). Customer loyalty improves the effectiveness of recommender systems based on complex network. Information.
• Y. Bai, S. Jia, X. Li (2018). Research and application of time series algorithms in centralized purchasing data 2018 14th International Conference on Industrial Management.

Preprints

• Y. Bai, S. Camal, A. Michiorri (2023). A Quantitative Exploration of Natural Language Processing Applications for Electricity Demand Analysis.

Competitions

• November - December, 2022 He obtained with A.Stratigakos and G.Tian 1st from 78 teams in the track H of the qualifying match and 5th from 14 teams of the final leaderboard in BigDEAL Challenge 2022 for peak load forecasting.

Communications

• July, 2022. Oral presentation titled Integrating text analysis in electricity load forecasting: initial findings from UK at the 42nd International Symposium on Forecasting, Oxford, UK.
• June, 2022. Oral presentation titled Big data for the electric power system with focus on demand forecasting at the PERSEE(Centre for Processes, Renewable Energies and Energy Systems) PhD seminar, Sophia Antipolis Cedex, France.
• March, 2022. Oral presentation titled Big data for the electric power system with focus on demand forecasting at the 1ère rencontre doctorants-industriels dans le domaine des smart grids, Virtual.
• June, 2021. Oral presentation titled Exploring the social influence of the Kaggle virtual community on the M5 competition at the 41st International Symposium on Forecasting, Virtual.
• September, 2018. Oral presentation titled Research and application of time series algorithms in centralized purchasing data at the 14th International Conference on Industrial Management, Hangzhou, China and won a student best paper award.