Rate My Professor Wen Shan

Dr. Tan Wen Shan is a Senior Lecturer in the Malaysia School of Engineering at Monash University Malaysia, specializing in the Mechatronics Engineering discipline. He earned his Bachelor of Engineering in Electrical and Electronics Engineering from Universiti Malaysia Sabah in 2011, followed by a Master of Engineering (Electrical) from Universiti Teknologi Malaysia in 2013, where his thesis focused on optimizing distributed generation planning using a hybrid artificial intelligence approach. He completed his PhD in Electrical Engineering from the same institution in 2017, with a thesis entitled “Flexibility-Based Scheduling of Variable Wind Power with Conventional Generation and Non-Generation Resources.” Prior to his current role, he served as a Postdoctoral Researcher at University Tenaga Nasional from 2018 to 2019. As a dedicated educator, he coordinates units such as TRC3500 - Sensors and Artificial Perception and TRC3600 - Modelling and Control.

Dr. Tan's research centers on stochastic generation scheduling, power system flexibility, electricity market operation, energy storage, renewable energy integration, smart grids, renewable generation forecasting, distributed generation, and artificial intelligence algorithms, with recent extensions to blockchain and carbon markets. He has authored numerous publications in leading journals, including IEEE Transactions on Power Systems, IEEE Transactions on Industrial Applications, International Journal of Electrical Power and Energy Systems, Renewable Energy, and Renewable & Sustainable Energy Reviews. Notable recent works include "Governance and market dynamics of P2P energy trading: enhancing national strategies in Malaysia and Thailand" (2026), "A Novel Dual-Focused Temporal-Spatial Model for Day-Ahead PV Power Forecasting" (2025), and "Multi-objective optimisation of buoyancy energy storage technology using transit search algorithm" (2024). His contributions extend to practical innovations, such as the eCOS digital control system for Solar PV and Battery Energy Storage, which earned the Impact Award at the 2024 SEDA Innovation Challenge. Additional honors include ITEX 2023, the University Prize at the IBM Call for Code 2022 Green Practice Challenge Accelerator, and a feasibility study award in 2022. He has secured significant funding, including RM2.2 million from MDEC and USD25,000 from the U.S. National Science Foundation, and serves as a guest editor for Frontiers in Sustainability. Dr. Tan supervises PhD students on topics like peer-to-peer energy trading and transportable energy storage systems.