Jida Wang

M.Sc. Student in Power Engineering.

Jida_Wang.jpg

Jida Wang

(王骥达, Everett Somerville)

Greetings!

I am an M.Sc. student in Power Engineering at Nanyang Technological University, Singapore (NTU). Previously, I obtained my B.Sc. in Electrical Engineering and Automation from Beijing Institute of Technology (BIT). Also, I am a researcher in Electrical Engineering, with a strong focus on smart grid, renewable energy systems, and advanced control, optimisation, AI/digitalisation of sustainable power grids.

Currently, I am conducting research on the Vulnerability Analysis of Renewable-Integrated Power Grids under False Data Injection Attacks (FDIA) and Resilience Enhancement in Sustainable Power Grids via Mamba-Driven Anomaly Detection at NTU, Singapore under the supervision of Dr. Yan Xu and Dr. Ziming Yan. In the meantime, I am working as an Energy Analytics, Digital Operations and Electricity Market Trading Intern at Crystal Clear Environmental Pte Ltd, Singapore.


Research Interests

(i) modelling, optimisation, AI/digitalisation of renewable-energy power systems

(ii) stability and control of renewable-energy power systems

(iii) data-analytics for smart grid applications and electricity market


Education

Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
08/2025-2027
M.Sc. in Power Engineering

Beijing Institute of Technology, School of Automation, Beijing, China
08/2021-06/2025
B.Sc. in Electrical Engineering and Automation


Work Experiences

Crystal Clear Environmental Pte Ltd, Singapore
08/2026-present
Data analysis, energy system modelling, electricity market trading intern


Publications

  1. IEEE APPEEC 26
    A Mamba-Based Denoising Autoencoder for Stealthy FDIA Detection in Power Systems
    J. Wang*†, and Z. Yan
    2026 IEEE 18th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Singapore, Aug 2026
    (@ NTU, Singapore)
  2. IEEE IESES 25
    Optimized Scheduling Strategy for Power Grids Considering Complementary Characteristics of Renewable Energy Forecast Errors
    J. Wang*†, W. Liu, J. Yang, X. Zhang, Z. Li, and Y. Huo
    2025 IEEE 4th International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Beijing, China, pp. 571-576, Sep 2025
    (@ BIT Beijing, China)