2022 International Conference on Energy Internet and Power Systems (ICEIPS 2022) was successfully held
ICEIPS 2022 was originally planned to be held in Shanghai, China. Due to the pandemic impact, the conference was held via online platform during August 26-28, 2022.
Prof. Zainal Kadir, Universiti Putra Malaysia, Prof. Ishak Bin Aris, Universiti Putra Malaysia, Prof. MOHAN LAL KOLHE, University of Agder (Norway), Associate Professor Rakesh Patel, G H Patel college of Engineering & technology gave wonderful academic reports.
Prof. Zainal Kadir, Universiti Putra Malaysia
|Prof. Ishak Bin Aris, Universiti Putra Malaysia|
|Prof. MOHAN LAL KOLHE, University of Agder (Norway)||Associate Professor Rakesh Patel, G H Patel college of Engineering & technology|
In addition to the keynote speeches, experts and scholars had a lively discussion, let's enjoy wonderful some oral reports and poster!
1. Rui Wang, School of Finance, Nanjing Agricultural University
Title: A Study of the Construction with Financial Risk indicators in Energy Management
2. Ji Wang, Electric Power Research Institute, CSG
Title: ABFT High-Performance Asynchronous Byzantine Fault-Tolerant Consensus Algorithm for Electricity Data Metrology
3. Haziq Ibrahim, Universiti Teknologi Brunei
Title: A Comparative Hybrid Optimisation Analysis of Automatic Voltage Regulator Using Metaheuristic Algorithms and Linear Quadratic Regulator (LQR)
4. Pengwei Sun, China Southern Power Grid
Title: Operation characteristics of LCC-HVDC split-pole connected to power grids and its influence on control and protection system
5. Zhang Shuo, State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University
Title: A multivariate operational situation awareness method based on weighted graph structure for complex nuclear power systems
6. Yue Li, North China University of Technology
Title: Electrical insulator defect detection from incomplete annotations by positive-unlabeled learning
7. Zhuwen Dai,Shenyang Institute of Engineering
Title: Analysis of transformer bias vibration based on " magnetic-mechanical" coupling
8. JiRong Zheng, Zhengzhou University of Light Industry
Title: Hardness Recognition of Robotic Forearm Based on Multi-Time Scales Deep Features