Special Sessions | 专题征稿

Special Session: Accurate Load and Renewable Energy Forecasting for Secure and Low-Carbon Operation of New Distribution Systems

The rapid transition toward carbon neutrality is reshaping distribution networks into highly decentralized, digitalized, and power-electronics-rich systems. Large-scale integration of distributed renewable energy, electrified loads, electric vehicles, and flexible resources has substantially increased the uncertainty and volatility of net load at the distribution level. Accurate load and renewable energy forecasting has therefore become a critical enabler for the secure, resilient, and low-carbon operation of new-type distribution systems. However, conventional forecasting approaches are facing significant challenges due to limited observability, complex spatio-temporal coupling, behind-the-meter resources, and the growing impacts of extreme weather and climate change. Innovative theories and data-driven technologies are urgently required to support precise perception, proactive control, and intelligent decision-making.

This Special Session aims to provide a forum for researchers and practitioners to present recent advances in load and renewable energy forecasting and their applications to the secure and low-carbon operation of future distribution systems. The topics of interest include, but are not limited to:

1. Short-term and ultra-short-term deterministic forecasting of load and renewable energy sources.
2. Interval forecasting, probabilistic forecasting, and scenario-based forecasting under high uncertainty.
3. Multi-energy and multi-timescale forecasting for electricity, heating, and transportation sectors.
4. Physics-informed AI methods for load and renewable forecasting.
5. Forecasting under extreme weather, climate variability, and rare events.
6. Forecast-aided optimal operation, flexibility scheduling, and carbon-aware dispatch.
7. Large language model-based forecasting and privacy-preserving learning.

Assoc. Prof. Leijiao Ge, Tianjin University, China

Leijiao Ge (Senior Member, IEEE) received Ph.D. degree in electrical engineering from Tianjin University, Tianjin, China, in 2016. He is currently an associate professor in the school of electrical and information engineering at Tianjin University. His main research interests are smart distribution network, cloud computing and big data.

Prof. Wenlong Liao, Southeast University, China

Wenlong Liao (Fellows of MSCA, JSPS, DAAD AI-net) received his Bachelor's, Master's, and PhD degrees from China Agricultural University, Tianjin University, and Aalborg University, respectively. From Aug. 2023 to Mar. 2025, he was a postdoc with the Ecole Polytechnique Federale de Lausanne (EPFL). He worked as an Assistant Professor at University of Leicester from Apr. 2025 to Feb. 2026. He was a visiting researcher at the University of Hong Kong, Tokyo Institute of Technology in Japan, and TU Dortmund University in Germany. He is currently a full Professor at Southeast University. His current research interests include smart grids, machine learning, and renewable energy.

Submit Method:
1, submit it via the link: http://www.easychair.org/conferences/?conf=repe2026 (after entering the link, click on the corresponding topic) before the submission deadline
2, send your manuscript to repe_conf@126.com with subject "Submit+Special Session-1+Paper Title". (请通过邮件发送稿件，邮件题目：Submit+Special Session-1+Paper Title)