Tan Wen Shan

Dr. Tan Wen Shan is a Lecturer in Mechatronics Engineering at Monash University Malaysia, specializing in power systems and renewable energy integration. He holds a PhD in Electrical Engineering from Universiti Teknologi Malaysia (2017), an MEng in Electrical Engineering (2013), and a BEng in Electrical and Electronics Engineering (2011). His research focuses on stochastic generation scheduling, energy storage systems, smart grids, and blockchain applications in energy markets.

Education:

• BEng (Electrical and Electronics Engineering), Universiti Malaysia Sabah, 2011
• MEng (Electrical Engineering), Universiti Teknologi Malaysia, 2013
• PhD (Electrical Engineering), Universiti Teknologi Malaysia, 2017

Research Interests:

• Stochastic generation scheduling with renewable integration
• Power system flexibility and resilience
• Electricity market operations and blockchain
• Artificial intelligence in energy systems

Publications and Projects:

• Recent work includes P2P energy trading, transportable energy storage, and resilience-based scheduling under natural disasters.
• Active projects include sustainable energy bike lanes in Kuala Lumpur and AI-assisted energy storage planning.

His articles emphasize renewable energy forecasting, smart grid optimization, and decentralized energy systems.

Awards:

• ITEX 2023 Prize (2023)
• IBM Call for Code 2022 Green Practice Challenge Accelerator Prize (2022)

Teaching and Supervision:

• Unit Coordinator for TRC3500 (Sensors and Artificial Perceptions) and TRC3600 (Modelling and Control)
• Supervised multiple final-year projects on energy systems and smart grids (2023–2024).