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20212025
most citedDeep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions

204 citations

8 papers

physics.plasm-ph2025

Charge transport and mode transition in dual-energy electron beam diodes

Chubin Lin, Jiandong Chen, Huihui Wang +1

This Letter uncovers five distinct charge transport modes and their transitions in dual-energy electron beam diodes. We via first-principle particle-in-cell (PIC) simulations estab…

math.OC2025★ 2 cited

Dynamic Modeling and Control of Multi-Stack Alkaline Water Electrolysis Systems with Shared Gas Separators and Lye Circulation:Industrial Data-Based Validation and Simulation

Yiwei Qiu, Jiatong Li, Yangjun Zeng +7

An emerging approach for large-scale renewable hydrogen production is integrating multiple alkaline water electrolysis (AWE) stacks into one balance-of-plant (BoP) system, sharing…

eess.SY2024★ 10 cited

RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices

Junshuo Liu, Yunlong Huang, Wei Yang +5

Human activity recognition (HAR) holds significant importance in smart homes, security, and healthcare. Existing systems face limitations because of the insufficient spatial divers…

math.OC2023★ 48 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part II: Method and Applications

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

This two-part paper develops a non-iterative coordinated optimal dispatch framework, i.e., free of iterative information exchange, via the innovation of the equivalent projection (…

math.OC2023★ 44 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part I: Theory

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

Coordinated optimal dispatch is of utmost importance for the efficient and secure operation of hierarchically structured power systems. Conventional coordinated optimization method…

math.OC2023★ 28 cited

A computationally efficient Benders decomposition for energy systems planning problems with detailed operations and time-coupling constraints

Anna Jacobson, Filippo Pecci, Nestor Sepulveda +2

Energy systems planning models identify least-cost strategies for expansion and operation of energy systems and provide decision support for investment, planning, regulation, and p…