About
Contact & Profiles
A5088026384
Research Areas
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Dark Matter and Cosmic Phenomena
- Atomic and Subatomic Physics Research
- Big Data Technologies and Applications
- Advanced Data Storage Technologies
- Computational Physics and Python Applications
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Smart Grid Energy Management
North China Electric Power University
2021-2025
10.1109/tia.2025.3548576
article
EN
IEEE Transactions on Industry Applications
2025-01-01
Attributed to its rapidly growing installed capacity and increasing charging power, public fast station (PFCS) exhibits outstanding potential for demand response (DR) programs. Thus, accurate DR baseline estimation PFCS becomes critical implement a reliable, economic fair program. In this study, we propose an Informer-based neural network estimate the of PFCS, which incorporates patterns individual electric vehicles (EVs) at lower level into aggregate model upper level. Leveraging...
10.1109/icps60943.2024.10563424
article
EN
2024-05-19
10.1109/icpsasia61913.2024.10761563
article
EN
2024-07-09
10.1109/icpsasia61913.2024.10761478
article
EN
2024-07-09
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