Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Professor | Central South University | China

Dr. Xubin Liu is a postdoctoral researcher in Electrical Engineering at the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, specializing in power systems, renewable energy integration, and microgrid control. He holds a Ph.D. in Electrical Engineering from Hunan University with joint doctoral training at Tsinghua University, preceded by a bachelor’s degree in Electrical Engineering from Northwest University for Nationalities. His professional experience includes leading and contributing to advanced research projects on intelligent distribution networks, multi-energy systems, frequency–voltage coordination, fault current management, energy storage control, and real-time simulation platforms for active distribution networks. Dr. Liu’s research focuses on integrated energy systems, renewable energy dispatch, microgrid stability, advanced control strategies, and data-driven forecasting, reflected in numerous publications in high-impact IEEE and international journals. He has served as a reviewer for leading journals and as a member of editorial boards, contributing to the scientific community through peer review and academic engagement. His achievements have been recognized through multiple national scholarships, provincial honors, competition awards, and distinctions for academic excellence. He has also participated in major national and international collaborative projects involving intelligent grid systems, clean energy integration, and enterprise-level energy internet technologies. Dr. Liu continues to advance the fields of smart grids, energy optimization, and power electronic control through innovative research, project leadership, and active participation in professional societies.

Profile: ORCID

Featured Publications

Xubin Liu*, Frequency-Voltage synergy support method based on grid strength for VSC-MTDC integrated distributed offshore wind farms. IEEE Trans. Power Syst., 2025, 40(4), 3543–3562.

Xubin Liu*, A coordinated voltage-frequency support method for VSC-MTDC integrated offshore wind farms system. IEEE Trans. Power Syst., 2024, 39(1), 1485–1502.

Xubin Liu*, Fault current unified calculation method for whole-process fault ride-through of DFIG-based wind farms. IEEE Trans. Smart Grid, 2024, 15(1), 485–503.

Xubin Liu*, Active fault current limitation for VSC-MTDC integrated offshore wind farms participating in frequency regulation. IEEE Trans. Sustain. Energy, 2024, 15(2), 773–788.

Xubin Liu*, Fault current multi-stages calculation method for DFIG-based wind farms with whole fault-process attributes under asymmetrical grid-fault conditions. IEEE Trans. Sustain. Energy, 2024, 15(4), 2361–2379.

Dr. Liu Bai | Renewable Energy Systems | Editorial Board Member

Postdoctoral Fellow | Harbin Institute of Technology | China

Liu Bai is an Assistant Researcher and Postdoctoral Fellow at the Harbin Institute of Technology, specializing in predictability, energy forecasting, solar forecasting, and structural failure prediction, where he contributes to advancing energy meteorology and data-driven engineering analysis. He holds a Ph.D. in Structural Engineering from the Harbin Institute of Technology and a Bachelor’s degree in Civil Engineering from Northeast Agricultural University, with academic training that supports his interdisciplinary research spanning renewable energy systems and structural behavior modeling. His professional experience includes leading multiple scientific research projects, serving as a visiting scholar at prominent research institutes, and contributing to national-level postdoctoral research initiatives, reflecting strong leadership in collaborative and applied research environments. His research outputs include more than 30 peer-reviewed publications in high-impact journals covering solar irradiance predictability, deep-learning-based solar forecasting, structural performance assessment, and concrete behavior modeling, alongside contributions to innovation through several granted patents. He also serves as a youth editor for multiple scientific journals, reviews manuscripts for leading international publications in energy and computational fields, and is an active member of professional societies, including roles within the Chinese Particle Society and the Aerosol Professional Committee, demonstrating recognized expertise and service within the research community.

Profile: Scopus

Featured Publications

Liu Bai*, Predictability and forecast skill of solar irradiance across large-scale regions using advanced statistical and machine-learning frameworks. Renewable & Sustainable Energy Reviews, Accepted.

Liu Bai*, Deep-learning–enhanced solar irradiance prediction and uncertainty quantification based on multi-task and physically constrained modeling approaches. Solar Energy, Accepted.

Liu Bai, Data-driven structural performance assessment and failure prediction of reinforced concrete and masonry systems under complex loading conditions. Structural Concrete, Accepted.