Journal Papers
[4] Mohan Menghwar, Jie Yan, Yongning Chi, M. Asim Amin, Yongqian Liu, A market-based real-time algorithm for congestion alleviation incorporating EV demand response in active distribution networks, Applied Energy, February 2024 Link
[3] M. Asim Amin; Ahmad Suleman; Muhammad Waseem; Taosif Iqbal; Saddam Aziz; Muhammad Talib Faiz; Lubaid Zulfiqar; Ahmed Mohammed Saleh, Renewable Energy Maximisation for Pelagic Islands Network of Microgrids Through Battery Swapping Using Deep Reinforcement Learning, IEEE Access, August 2023. Link
[2] Xuan Wei; M. Asim Amin; Yinliang Xu; Tao Jing; Zhongkai Yi; Xiaoming Wang; Yuguang Xie; Duanchao Li; Wang Shenghe; Yue Zhai, Two-Stage Cooperative Intelligent Home Energy Management System for Optimal Scheduling, IEEE Transactions on Industry Applications, May 2022. Link
[1] Honglei Zhang, Zhenbo Zang, Hongjun Zhu, M. Irfan Uddin, M. Asim Amin; Big data-assisted social media analytics for business model for business decision making system competitive analysis, Information Processing and Management 59(1):102762, January 2022. Link
Conference papers
[12] M. Asim Amin, A. La Fata, R. Procopio, M. Invernizzi, M. Petronijevic and I. R. Mitic, "Photovoltaic Power Nowcasting Using Decision-Trees Based Algorithms and Neural Networks," 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN), Nis, Serbia, 2024, pp. 1-6. Link
[11] Muhammad Adnan Khan; Muhammad Waseem; M. Asim Amin; Muhammad Arslan; Muhammad Ali Mughal; Kazi Nazmul Hasan, Enhanced Active Power Improvement in Wind Energy Conversion Systems through Rotor Side Converter Current Control of Doubly Fed Induction Generator, 2023 33rd Australasian Universities Power Engineering Conference (AUPEC) Link
[10] M. Asim Amin; Ahmad Suleman; Tarmo Korõtko; Saddam Aziz; Muhammad Usman Naseer; Nisar Ahmad, Profit Maximization by Integrating Demand Response in Multiple VPPs Optimal Scheduling, 2022 International Conference on Electrical Engineering and Sustainable Technologies (ICEEST), March, 2023, (Industry Project) Link , Video Presentation
[9] Ahmad Suleman; M. Asim Amin; Mahnoor Fatima; Bilal Asad; Mohan Menghwar; Muhammad Adnan Hashmi, Smart Scheduling of EVs Through Intelligent Home Energy Management Using Deep Reinforcement Learning, 2022 17th International Conference on Emerging Technologies (ICET), Dec. 2022. (Industry Project) Link
[8] Jiangnan Li; M. Asim Amin; Jun Shi; Lanfen Cheng; Feifan Lu; Bo Geng; Ao Liu; Shangchou Zhou, Energy Trading of Multiple Virtual Power Plants Using Deep Reinforcement Learning, International Conference on Power System Technology (POWERCON), Haikou, China, May 2021. (Industry Project) Link
[7] Zhi Li; M. Asim Amin; Can Wang; Jinjin Ding; Bo Peng; Lulu Du, Efficient Reactive Power Control Using Reinforcement Learning under Inaccurate Power Network Model, 6th International Conference on Power and Renewable Energy (ICPRE), Shanghai, China, September 2021. (Industry Project) Link
[6] M. Asim Amin; Youwei Jia; Faheem Muhammad; M. Aaqib H.; Asad Ahmad; M. A. Rustam, Weak Grid Reactive Power Improvement and Voltage Control of MT-HVDC Grid using APF, IEEE 23rd International Multitopic Conference (INMIC), Pakistan, January 2021. Link
[5] Faheem Muhammad; Wanjun Lei; M. Asim Amin; Wu Dian Feng; M. Aaqib H.; Muhammad Talib Faiz, Parameter Designing Method of Active Damping LCL Filter For Grid-Connected Inverter, IEEE 23rd International Multitopic Conference (INMIC), Pakistan, January 2021. Link
[4] Akhtar Hussain Javed, M. Asim Amin, Taosif Iqbal, Nauman Ali, Power Sharing through Droop Control for Parallel Inverters with Line impedance Effect, Proc. EESD 2016. Link
[3] Asad Ahmad, M. Asim Amin, Akhtar Hussain Javed, M Talib Faiz, Efficiency Improvement of Mini Hydro Pump Storage Power Plant Using Archimedes Turbine, Proc. EESD 2016. Link
[2] M. Asim Amin, M Mansoor, Talib Fiaz, Akhtar Javed, Real-Time Dynamic Performance of Multi-Machine System Using Smart Technology, Proc. IEEC, 2016. Link
[1] M Mansoor Alam, Mumtaz Ahmad, M. Asim Amin, M Ihsan Ul Haq, Design of Advanced Neutral Point Clamped Multilevel Converter for AC Drive Systems, Proc. IEEC, 2016. Link
onging work
[1] Different loads adjustment to schedule EVs in a distribution system through the reinforcement learning
[2] Exploring the role of Nano-grids for the application of mountain and rural areas.
[3] PV forecasting approch using advance machine learning based methods to minimize the overall cost (University of Genova, Italy).