Dr Yang Du ~ Lecturer, Electronic Systems and IoT Engineering

Dr. Yang Du received his Ph.D. degree in electrical engineering from The University of Sydney, Australia, in 2013. From 2013 to 2014, he was with Masdar Institute of Science and Technology, Abu Dhabi, UAE, as a post-doctoral research fellow. From 2014 to 2018, he was a lecturer at Xi’an Jiaotong-Liverpool University, Suzhou, China, where he maintains an honorary position. He joined James Cook University, Cairns, Australia in 2019. He was a visiting scientist at Massachusetts Institute of Technology in 2018.

Teaching

• CC2510: Digital Logic and Computing Methods (Level 2; CNS)
• CC4510: Digital System Design (Level 4; CNS)
• EE2201: Circuit Theory (Level 2; CNS)
• EE3010: Digital Signal Processing (Level 3; CNS)
• EE3400: Power Engineering 1 (Level 3; CNS)

Interests

Research

• renewable energy integration
• power electronics
• smart grid

Research Disciplines

• Electrical and Electronic Engineering (0906)
• Artificial Intelligence and Image Processing (0801)

Socio-Economic Objectives

• Renewable Energy (8505)
• Energy Conservation and Efficiency (8507)
• Energy Storage, Distribution and Supply (8506)

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Bu Q, Wen H, Wen J, Hu Y and Du Y (2020) Transient dc bias elimination of dual-active-bridge dc-dc converter with improved triple-phase-shift control. IEEE Transactions on Industrial Electronics, 67 (10), pp. 8587-8598, DOI:10.1109/TIE.2019.2947809.
• Chen X, Du Y, Lim E, Wen H, Yan K and Kirtley J (2020) Power ramp-rates of utility-scale PV systems under passing clouds: module-level emulation with cloud shadow modeling. Applied Energy, 268, Article: 114980, DOI:10.1016/j.apenergy.2020.114980.
• Li X, Wen H, Hu Y, Du Y and Yang Y (in press) A comparative study on photovoltaic MPPT algorithms under EN50530 dynamic test procedure. IEEE Transactions on Power Electronics, , DOI:10.1109/TPEL.2020.3024211.
• Wen H, Du Y, Chen X, Lim e, Wen H, Jiang L and Xiang W (in press) Deep learning-based multi-step solar forecasting for PV ramp-rate control using sky images. IEEE Transactions on Industrial Informatics, , DOI:10.1109/TII.2020.2987916.
• Chen X, Du Y, Lim E, Wen H and Jiang L (2019) Sensor network based PV power nowcasting with spatio-temporal preselection for grid-friendly control. Applied Energy, 255, Article: 113760, DOI:10.1016/j.apenergy.2019.113760.
• Chen X, Yang D, Wen H, Jiang L and Weidong X (2019) Forecasting-based power ramp-rate control strategies for utility-scale PV systems. IEEE Transactions on Industrial Electronics, 66 (3), pp. 1862-1871, DOI:10.1109/TIE.2018.2840490.
• Veerapen S, Wen H, Li X, Du Y, Yang Y, Wang Y and Xiao W (2019) A novel global maximum power point tracking algorithm for photovoltaic system with variable perturbation frequency and zero oscillation. Solar Energy, 181, pp. 345-356, DOI:10.1016/j.solener.2019.01.082.
• Yan K, Li W, Ji Z, Qi M and Du Y (2019) A hybrid LSTM neural network for energy consumption forecasting of individual households. IEEE Access, 7, pp. 157633-157642, DOI:10.1109/ACCESS.2019.2949065.
• Yan K, Du Y and Ren Z (2019) MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification. IEEE Transactions on Sustainable Energy, 10 (2), pp. 514-521, DOI:10.1109/TSTE.2018.2834415.
• Zhou H, Zhang Y, Yang L, Liu C, Yan K and Du Y (2019) Short-term photovoltaic power forecasting based on long short term memory neural network and attention mechanism. IEEE Access, 7, pp. 78063-78074, DOI:10.1109/ACCESS.2019.2923006.

Conference Papers

• Bow W, Du Y and Louis A (2019) Modeling and evaluation of real-time energy management systems for microgrids. Proceedings of the 29th Australasian Universities Power Engineering Conference. In: AUPEC 2019: 29th Australasian Universities Power Engineering Conference, 26-29 May 2019, Nadi, Fiji
• Zhang B, Du Y, Lim E, Jiang L and Yan K (2019) Design and simulation of Peer-to-Peer energy trading framework with dynamic electricity price. Proceedings of the 29th Australasian Universities Power Engineering Conference. In: AUPEC 2019: 29th Australasian Universities Power Engineering Conference, 26-29 May 2019, Nadi, Fiji

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ResearchOnline@JCU stores 25+ research outputs authored by Dr Yang Du from 2014 onwards.

The map shows research collaborations by institution from the past 7 years.
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