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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023年第2期17卷 198-210页

作者： Chunqiu Xia Wei Li Xiaomin Chang Ting yang albert y.zomaya Centre for Distributed and High Performance Computing School of Information TechnologiesThe University of SydneyCamperdownNSW 2006Australia School of Electrical Automation and Information Engineering Tianjin UniversityTianjin 300072China

The increasing use of distributed energy resources changes the way to manage the electricity *** the traditional centralized powered utility,many homes and businesses with local electricity generators have established their own microgrids,which increases the use of renewable energy while introducing a new challenge to the management of the microgrid system from the mismatch and unknown of renewable energy generations,load demands,and dynamic electricity *** address this challenge,a rank-based multiple-choice secretary algorithm(RMSA)was proposed for microgrid management,to reduce the microgrid operating *** than relying on the complete information of future dynamic variables or accurate predictive approaches,a lightweight solution was used to make real-time decisions under *** RMSA enables a microgrid to reduce the operating cost by determining the best electricity purchase timing for each task under dynamic *** experiments were conducted on real-world data sets to prove the efficacy of our solution in complex and divergent real-world scenarios.

关键词： energy management systems demand response scheduling under uncertainty renewable energy sources multiple-choice secretary algorithm

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Game Theory based Optimal Defensive Resources Allocation with Incomplete Information in Cyber-physical Power Systems against False Data Injection Attacks

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Protection and Control of Modern Power Systems 2024年第2期9卷 115-127页

作者： Bingjing yan Zhenze Jiang Pengchao yao Qiang yang Wei Li albert y.zomaya College of Electrical Engineering Zhejiang University College of Control Science and Engineering Zhejiang University College of Electrical Engineering Zhejiang UniversityHangzhou 310027China School of Information Technologies at The University of Sydney School of Information Technologies

Modern power grid is fast emerging as a complex cyber-physical power system(CPPS)integrating physical current-carrying components and processes with cyber-embedded computing,which faces increasing cy-berspace security threats and *** this paper,the state(i.e.,voltage)offsets resulting from false data injection(FDI)attacks and the bus safety characterization are applied to quantify the attack *** state offsets are obtained by the state estimation method,and the bus safety characterization considers the power net-work topology as well as the vulnerability and connection relationship of *** the indeterminacy of attacker’s resource consumption and reward,a zero-sum game-theoretical model from the defender’s perspective with incomplete information is explored for the optimal allocation of limited defensive *** attacker aims to falsify measurements without triggering threshold alarms to break through the protection,leading to load shedding,over-voltage or *** defender attempts to ensure the estimation results to be as close to the actual states as possible,and guarantee the system’s safety and efficient defensive resource *** proposed solution is extensively evaluated through simu-lations using the IEEE 33-bus test network and real-time digital simulator(RTDS)based testbed experiments of the IEEE 14-bus *** results demonstrate the effec-tiveness of the proposed game-theoretical approach for optimal defensive resource allocation in CPPS when lim-ited resources are available when under FDI *** Terms—Optimal strategy,game theory,Nash equilibrium,CPPS,FDI attack.

关键词： Optimal strategy game theory Nash equilibrium CPPS FDI attack

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Online demand peak shaving with machine-learned advice in digital twins

Digital Twins and Applications

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Digital Twins and Applications 2024年第1期1卷 38-50页

作者： Minxi Feng Wei Li Boyu Qin albert y.zomaya Centre for Distributed and High Performance Computing School of Computer ScienceThe University of SydneySydneyNew South WalesAustralia State Key Laboratory of Electrical Insulation and Power Equipment Department of Electrical EngineeringXi'an Jiaotong UniversityXi'anChina

As the use of physical instruments grows,control algorithms are being increasingly deployed to enhance efficiency and reliability through digital twin *** load management is central to energy systems within digital twins,which significantly impacts operational *** demand loads can lead to substantial monthly utility expenses without proper ***,a randomised online algorithm incorporating machine-learned insights is introduced to optimise battery operations and mitigate peak demand *** leverages limited-bit information from ma-chine learning models to inform its online decision-making process for cost-effective load *** provide theoretical evidence demonstrating that AMPAMOD maintains minimal advice complexity,has a linear computational cost,and achieves a bounded competitive *** trace-driven experiments with real-world household data reveal that AMPAMOD successfully reduces peak loads by over 90%,outperforming other benchmarks by at least 50%.These experimental findings align with our theoretical assertions,showcasing the effectiveness of AMPAMOD.

关键词： operations maintain battery

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A Collaborative Medical Diagnosis System Without Sharing Patient Data

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ZTE Communications 2022年第3期20卷 3-16页

作者： NAN yucen FANG Minghao ZOU Xiaojing DOU yutao albert y.zomaya College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410003China Tongji Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Center for Distributed and High Performance Computing University of SydneySydney 2008Australia

As more medical data become digitalized,machine learning is regarded as a promising tool for constructing medical decision support *** with vast medical data volumes,machine learning is still not fully exploiting its potential because the data usually sits in data silos,and privacy and security regulations restrict their access and *** address these issues,we built a secured and explainable machine learning framework,called explainable federated XGBoost(EXPERTS),which can share valuable information among different medical institutions to improve the learning results without sharing the patients’ *** also reveals how the machine makes a decision through eigenvalues to offer a more insightful answer to medical *** study the performance,we evaluate our approach by real-world datasets,and our approach outperforms the benchmark algorithms under both federated learning and non-federated learning frameworks.

关键词： explainable machine learning federated learning secured data analysis medical applications

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Editorial： special issue on ＂big data security and privacy＂

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Digital Communications and Networks 2017年第4期3卷 211-212页

作者： Shui yu Peter Muller albert zomaya Deakin University Australia IBM Zurich Research Laboratory Switzerland University of Sydney Australia

As human beings are deep into the information age, we have been witnessing the rapid development of Big Data. Security and privacy are the most concerned issues in Big Data. Big Data definitely desires the security and privacy protection all through the collection, transmission and analysis procedures. The features of Big Data bring unprecedented challenges to security and privacy protection. To protect the confiden- tiality, integrity and availability, traditional security measures such as cryptography, event analysis, intrusion detection, prevention and access control have taken a new dimension. To protect the privacy, new pattern of measures such as privacy-preserved data analysis need to be explored. There is a lot of work to be done in this emerging field.

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从微观经济学看企业计算市场发展

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程序员 2014年第7期 107-111页

作者：蒋清野 young Choon Lee albert y. zomaya 悉尼大学信息技术学院

基于2006—2013年的历史市场数据，本文从微观经济学的角度分析了企业计算资源市场的供需关系。工业界可以依据本文所提供的数据设计更好的定价策略，从而同时达到市场扩张和增加营收的目的。

关键词：微观经济学市场发展企业计算供需关系资源市场角度分析定价策略数据设计

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