output
20182025
most citedDeep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions

204 citations

10 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…

physics.chem-ph2022

Enhanced Hydrogen Evolution Catalysis of Pentlandite due to the Increases in Coordination Number and Sulfur Vacancy during Cubic-Hexagonal Phase Transition

Yuegao Liu, Chao Cai, Shengcai Zhu +9

The search for new phases is an important direction in materials science. The phase transition of sulfides results in significant changes in catalytic performance, such as MoS2 and…

cs.DC2021★ 204 cited

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

Guangyao Zhou, Wenhong Tian, Rajkumar Buyya +2

As the quantity and complexity of information processed by software systems increase, large-scale software systems have an increasing requirement for high-performance distributed c…

physics.app-ph2018★ 18 cited

Maximum Production Point Tracking of a High-Temperature Power-to-Gas System: A Dynamic-Model-Based Study

Xuetao Xing, Jin Lin, Yonghua Song +1

Power-to-gas (P2G) can be employed to balance renewable generation because of its feasibility to operate at fluctuating loading power. The fluctuating operation of low-temperature…

physics.app-ph2018★ 39 cited

Optimization of Hydrogen Yield of a High-Temperature Electrolysis System with Coordinated Temperature and Feed Factors at Various Loading Conditions: A Model-Based Study

Xuetao Xing, Jin Lin, Yonghua Song +3

High-temperature electrolysis (HTE) is a promising technology for achieving high-efficiency power-to-gas, which mitigates the renewable curtailment by transforming wind or solar en…