Pei Zhang

Distributed rooftop photovoltaic dataset with metadata and Python toolkit

Pei Zhang, Jinhui Feng, Tiechui Yao, Min Shi et autres

cn (code pays fourni par la source)

Time-domain simulation based on physics-informed DeepONet

Pei Zhang, Chenyu Liu, Zhongda Chu, Jun Cao et autres

Online security assessment requires fast and reliable time-domain prediction of power-system dynamic responses. However, numerical-integration-based methods are often excessively time-consuming, while existing data-driven approaches usually have limited robustness and physical consistency. This paper proposes a time-domain simulation method based on Physics-informed Deep …

cn, lu, it (code pays fourni par la source)

Taxi Traffic Flow Prediction Based on Spatiotemporal-Fusion Graph Neural Networks

Nan Li, Guowei Jin, Pei Zhang, Wenlong Ma et autres

Accurate short-term traffic flow prediction in complex urban road networks is of great significance for capacity organization and dispatch optimization in intelligent transportation systems. Using publicly available historical taxi trip records released by the New York City Taxi and Limousine Commission from …

cn (code pays fourni par la source)

Optimal Urban Multi-network Coordination Considering Hybrid Pricing Strategy for Electricity and Hydrogen Trading

Zhang Cun, Yifei Wang, Ye Yujian, Qingshan Xu et autres

Vision of Future Smart Control Center: Fusion of Large Language Models and Power System Intelligent Computing

Pei Zhang, Yichen Sun, Chenggang Cui, Chuanlin Zhang

cn (code pays fourni par la source)

Self-Compassion and Bedtime Procrastination Among Chinese Medical Students: The Serial Mediating Role of Nighttime Media Use

Xian Tian, Xiaoxue Wu, Pei Zhang, Yang Jin-wei et autres

cn (code pays fourni par la source)

Evaluation of Flexibility Requirement based on Generative Artificial Intelligence and Production Cost Simulation

Xian Wang, Yi Sun, Li Ma, Pei Zhang

With the large-scale integration of renewable energy into the power system, the precise allocation of system flexibility requirements has become a key issue in ensuring the demand for regulation capacity. This paper proposes an evaluation method for regulation capacity requirements based on …

cn (code pays fourni par la source)

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models

Suhang Wu, Jialong Tang, Chengyi Yang, Pei Zhang et autres

Direct speech translation (ST) has garnered increasing attention nowadays, yet the accurate translation of terminology within utterances remains a great challenge. In this regard, current studies mainly concentrate on leveraging various translation knowledge into ST models. However, these methods often struggle with …

Regional wind and solar resources clustering methods considering spatial-temporal characteristics to accelerate production cost simulation

Zixin Huang, Huawei Li, Pei Zhang, Long Zhao et autres

Production cost simulation plays a crucial role in system planning, particularly for power systems with high renewable energy penetration. Balancing computational efficiency and accuracy remains a challenge. This paper introduces a regional division approach for wind and solar resources, utilizing spatiotemporal characteristics …

cn, bg (code pays fourni par la source)

Optimization of multi-prior 3D human reconstruction methods based on single-view images

Jing Zhao, Pei Zhang, Shida Gao, Yong Tang

cn, us (code pays fourni par la source)

County-Level Distributed PV Day-Ahead Power Prediction Based on Grey Correlation Analysis and Transformer-GCAN Model

Pei Zhang, Bin Zhang, Jinliang Yin, Jie Shi

The distributed photovoltaic (PV) power stations within the entire county exist spatiotemporal correlation. Merely considering temporal correlation makes it challenging to meet the day-ahead scheduling demands. This paper proposes a distributed PV county-level day-ahead power prediction method based on grey relational analysis …

cn (code pays fourni par la source)

ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking

Joseph Maffetone, Julia Gersey, Pei Zhang

ZV-Sim is an open-source, modular Python framework for probabilistic simulation and analysis of pre-emergent novel zoonotic diseases using pervasive sensing data. It incorporates customizable Human and Animal Presence agents that leverage known and simulated location data, contact networks, and illness reports to …