output
20142026
most citedCoordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach

604 citations

28 papers

eess.SY2026★ 9 cited

LSTN: A Linear Model of Industrial Production Process for Demand Response

Ruike Lyu, Hongye Guo, Yuanjie Zheng +2

Industrial production modeling provides operational constraints for industrial users participating in demand response (DR) programs. Conventional modeling of the production process…

math.OC2026

Unit-to-Plant Stability Shaping of Multi-Electrolyzer ReP2H Plants via Interface Design and Dispatch

Miao Zhang, Yiwei Qiu, Xiaoyu Wang +5

Alkaline water electrolysis (AWE) units supplied by insulated gate bipolar transistor rectifiers (IGBT-Rs) may experience oscil-lations caused by coupling between rectifier control…

math.OC2026

Hot Standby in Ammonia Synthesis Reshapes Market Equilibrium in Renewable P2A Systems: A Potential Game Approach

Yangjun Zeng, Yiwei Qiu, Xiaocong Sun +5

Integrating renewable generation, hydrogen production, and renewable ammonia (RA) synthesis into power-to-ammonia (P2A) systems creates interactions across electricity and hydrogen…

cs.CR2025★ 2 cited

VeriFuzzy: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data

Jie Zhang, Xiaohong Li, Man Zheng +4

Enabling search over encrypted cloud data is essential for privacy-preserving data outsourcing. While searchable encryption has evolved to support individual requirements like fuzz…

eess.SP2025★ 3 cited

Statistical CSI Acquisition for Multi-frequency Massive MIMO Systems

Jinke Tang, Li You, Xinrui Gong +4

Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing freq…

eess.SY2025★ 47 cited

AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks

Yang Li, Shitu Zhang, Yuanzheng Li

In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-base…