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Model-fusion-based sustainable trust assessment method 23

Model-fusion-based sustainable trust assessment method

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Zhang, Liang Fang, Yuan Sheng, Jianqiao Xu, Jingxuan Ding, Xin Center of Cloud Platform Operation and Network Security State Grid Anhui Electric Power Co. Ltd. Information and Communication Branch Hefei China

ISBN: (纸本)9781665494571

Power mobile Internet plays an important role in the development of smartcity. There is a large amount of interactive information in power mobile applications, and the trust in individuals can be judged by analyzing these behaviors and texts. Traditional trust evaluation methods cannot achieve accurate and reliable trust evaluation. This paper proposes a sustainable trust evaluation method under the zero-trust architecture. First, according to the data generated by the user's operation in the mobile application, the sentiment analysis of the user's text interaction information is carried out to establish a more reasonable trust evaluation model. Secondly, classic clustering algorithms and residual networks are used to learn the collected data. When the learning accuracy is stable, the algorithm can predict the trustworthiness of subsequent behaviors. Finally, when predicting future data, loading the previously trained model can achieve sustainability. Experimental simulation shows that the trust evaluation model and algorithm can effectively judge whether the user's operation is trustworthy within a period, and achieve a more reasonable and efficient sustainable trust evaluation. © 2021 IEEE.

关键词： Training Analytical models Sentiment analysis Clustering algorithms Prediction algorithms Feature extraction Mobile applications

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Graph computing and graph database applications in power system online dispatch

Graph computing and graph database applications in power sys...

引用

12th international conference on Renewable Power Generation (RPG 2023)

作者： Y. Wang R. Wei S. Liu Z. Tang State Grid Laboratory of Grid Advanced Computing and Applications Beijing People's Republic of China

In the new types of power systems, characterized by the dominance of renewable energies, uncertain resources such as wind and solar power will play a significant role in power generation. However, the inherent unpredictability and fluctuation of these renewable sources make the operating conditions complex and variable. To address this, intelligent online dispatch applications that integrate optimization and artificial intelligence techniques need to be implemented. In terms of online dispatch, estimating system states and optimizing resources require computing a large number of variables while adhering to operating constraints. Graph computing and graph database technologies have shown promising results in power system online analysis. This paper analyzes the applications of these graph computing techniques to enhance online dispatch and provides a graph computing based-grid online analysis architecture. This architecture offers a range of online situational awareness applications and decision-making support.

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Research on communication mechanism optimization based on distributed graph computing environment 23

Research on communication mechanism optimization based on di...

引用

Proceedings of the 2023 4th international conference on Big Data Economy and Information Management

作者： Jianchao Lin Chunna Cao Chunhui Ren State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd China

ISBN: (纸本)9798400716669

In recent years, with the rapid development of the Internet of Things, the Internet, and social networks, the storage of data in the network is growing at an explosive rate and is becoming more and more closely related to the real natural world. Driven by large-scale data mining and machine learning applications, distributed graph computing models that use graph data structures to describe data and relationships between data have been increasingly widely used. Therefore, this paper studies the optimization of communication mechanisms based on a distributed graph computing environment. Firstly, a BSP model based on a pure message-passing communication mechanism of a distributed graph computing system is established. Secondly, the optimization model is evaluated from two aspects: data communication and convergence condition judgment. Finally, large-scale data sets are used to test and evaluate performance optimization. The results show that this method can greatly improve the efficiency of graph parallel computing.

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BBDL: A Wear-Leveling Algorithm of IoT Terminal PCRAM Application 19

BBDL: A Wear-Leveling Algorithm of IoT Terminal PCRAM Applic...

引用

2022 IEEE SmartWorld, 19th IEEE international conference on Ubiquitous Intelligence and computing, 2022 IEEE international conference on Autonomous and Trusted Vehicles conference, 22nd IEEE international conference on Scalable computing and Communications, 2022 IEEE international conference on Digital Twin, 8th IEEE international conference on Privacy computing and 2022 IEEE international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Wang, Hongyu Yan, Hongfeng Cao, Tiejun Zhong, Wei Jin, Hui Nie, Yongjie Wiscom System Co. Ltd Nanjing China Chongqing University State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing China Chongqing University School of Electrical Engineering Chongqing China Yunnan Power Grid Co. Ltd Kunming China

ISBN: (纸本)9798350346558

Phase Change Random Access Memory (PCRAM) is a promising non-volatile memory device due to its attractive properties such as low power, fast access time, high storage density and bit addressability. In Internet of Things (IoT) edge computing environment, IoT terminal can greatly improve its storage and computation performance by adopt PCRAM. However, PCRAM suffers from its weakness in endurance. Existing PCRAM wear-leveling researches and proposed algorithms are mainly for storage class main memory architecture and applications. Due to the lack of Memory Management Unit (MMU) in most popular low power IoT terminal Micro Controller Unit (MCU), most existing PCRAM wear-leveling algorithms are not suitable and cannot be used directly in IoT Terminal PCRAM management. Based on our previous research on the storage and computation integrated architecture of IoT terminal, this paper proposes a Block and Bit Double Layer (BBDL) IoT terminal PCRAM wear-leveling algorithm for the first time. A dynamic and static hybrid strategy of block layer and bit layer algorithm is investigated. FPGA based prototype experiments and high level synthesis (HLS) and Simulink based algorithm simulations are carried out. Simulation results show that the proposed BBDL algorithm can effectively improve the endurance of PCRAM in IoT terminal applications. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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The Mechanism of Cloud computing Influencing Accounting Informatization

The Mechanism of Cloud Computing Influencing Accounting Info...

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2022 international conference on Computer Technologies, ICCTech 2022

作者： Zhao, Yan Zhang, Weidong Huang, Rong School of Accountancy Jiangxi University of Finance and Economics Nanchang China

ISBN: (纸本)9781665499187

Cloud computing is a modern information analysis and processing model born with the overall level of the world economy and the rapid development of Internet information technology. Cloud computing is the integration and commercialization of data information distributed processing, parallel processing and grid computing. The existence of cloud computing is not a new network foundation, but a network application concept. The role of cloud computing is actually a combination of computing, services and applications for public use of software. The application of cloud computing to accounting information system will further promote the openness and sharing of information resources. Enterprises promote the development of accounting informatization, actively explore and build accounting informatization and management platform with cloud computing technology as the core, and promote the construction of accounting informatization into a new stage of development. This paper analyzes the mechanism of cloud computing affecting accounting information, constructs the cloud computing accounting information system, establishes the cloud computing accounting information construction mode, analyzes the mechanism of cloud computing affecting accounting information disclosure, and puts forward the strategy of accounting information construction under cloud computing, in order to provide useful reference for accounting information construction. © 2022 IEEE.

关键词： Cloud computing

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Laboratory Testbed for Advanced grid applications of Interconnected Battery Energy Storage Systems in Smart grids 13

Laboratory Testbed for Advanced Grid Applications of Interco...

引用

2022 IEEE international conference on Power Systems Technology, POWERCON 2022

作者： Krpan, Matej Beus, Mateo Kuzle, Igor Pandzic, Hrvoje University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (数字)9781665417754

ISBN: (纸本)9781665417754

This paper presents a cyber-physical laboratory testbed based on a hierarchical control structure for education, research and development in the field of interconnected battery systems, implemented in the Smart grid Laboratory at the University of Zagreb. The modular structure of the Smart grid Laboratory's microgrid enables both the grid-connected and the off-grid operation, as well as hardware-in-the-loop simulations. The hierarchical control architecture enables a coordinated control of battery assets at several temporal scales. In this paper we present testbed use cases for developing distributed control algorithms for voltage and frequency control, and economically optimal centralized dispatch of the battery assets, as well as some concepts for developing educational activities for students. © 2022 IEEE.

关键词： Smart power grids

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A Network Synthesis and Analytics Pipeline with applications to Sustainable Energy in Smart grid 19

A Network Synthesis and Analytics Pipeline with Applications...

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19th IEEE international conference on e-Science, e-Science 2023

作者： Thorve, Swapna Kishore, Aparna MacHi, Dustin Ravi, S.S. Marathe, Madhav V. Biocomplexity Institute and Initiative University of Virginia CharlottesvilleVA United States Biocomplexity Institute and Initiative University of Virginia Dept. of Computer Science CharlottesvilleVA United States

ISBN: (纸本)9798350322231

Transitioning to clean and low-carbon energy is becoming a crucial goal for many entities in the energy systems sector such as governments, power utilities, and policymakers. This shift to clean energy is supported by a diverse portfolio of data products such as satellite data, smart meter data, power networks, green energy datasets (e.g., solar installations & electric vehicles), microgrid networks, and building stock data. Among these, network datasets are becoming increasingly common in addressing a wide array of issues in residential energy, especially in applications that focus on social good. Thus, streamlining the process of generating different types of networks will be helpful. In this work, we propose a versatile network synthesis and analytics pipeline developed using software design principles that make it modular, scalable, and extensible. Three case studies are presented to illustrate the significance of network data in sustainable energy applications. © 2023 IEEE.

关键词： Energy conservation

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HPC Performance on AWS: EFA Integrated Intel Instances for MPI applications

HPC Performance on AWS: EFA Integrated Intel Instances for M...

引用

international conference on Parallel Distributed and grid computing (PDGC)

作者： Mandeep Kumar Gagandeep Kaur Prashant Singh Rana University Institute of Computing Chandigarh University Mohali India Locuz Enterprise Solutions Private Limited Delhi India Computer Science and Engineering Department Thapar Institute of Engineering and Technology Patiala India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

High Performance computing (HPC) has become an indispensable tool in various scientific and engineering domains, demanding efficient infrastructure to support computationally intensive tasks. Cloud computing platforms, such as Amazon Web Services (AWS), have emerged as a viable solution for provisioning HPC resources. In this work, we explore the performance of HPC workloads running on AWS, utilizing Elastic Fabric Adapter (EFA) interconnect technology and Intel Xeon Scalable Processors. The investigation focuses on Message Passing Interface (MPI) applications, evaluating the system's efficiency, scalability, and the benefits of EFA integration. We present experimental results and insights into optimizing HPC workloads in the AWS environment, contributing to the ongoing discussion on achieving high-performance computational capabilities in the cloud.

关键词： Cloud computing Program processors Web services Software packages Scalability Message passing Software algorithms Throughput Resource management Optimization

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A Fast Belief Propagation-Based Distributed Gauss– Newton Method for Power System State Estimation

A Fast Belief Propagation-Based Distributed Gauss– Newton M...

引用

IEEE international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Peng Guo Danni Shi Xuan Wang Xinghua Shi State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing China State Grid Zhejiang Eletric Power Co. Ltd Zhejiang China

State estimation is the foundation for a variety of online power system applications in energy management systems, and the stability of power systems is directly impacted by the speed with which current system states can be obtained through state estimation. This paper proposed a fast Gaussian-Newton state estimation method for power systems based on parallel belief propagation, which implements the Gaussian belief process via multi-core and multi-thread parallel computation to achieve efficient state estimation. Simulation findings on numerous IEEE-standard power systems show that the suggested technique outperforms the traditional algorithm.

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Intelligent grid Edge computing Application Research Utilising the Internet of Things (IoT)

Intelligent Grid Edge Computing Application Research Utilisi...

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Data Science & Informatics (ICDSI), international conference on

作者： Yueshen Hu Xiaohang Luo Youwei Zhu Dali Bureau of China Southern Power Grid Extra High Voltage Transmission Company Yunan China

IoT-based smart grids, as a cutting-edge research direction in the energy field, have sparked extensive interest and research. In this context, As an emerging computing paradigm, edge computing presents new opportunities for smart grid implementation and optimisation. The purpose of this research is to investigate the implementation of peripheral computation in IoT-based smart infrastructure and its potential value and impact on power systems. In this study, we begin by introducing the fundamental concepts of IoT-based smart grid and edge computing, before describing their relationship and the function of edge computing in smart grid. Subsequently, we concentrate on specific smart grid application areas for peripheral computation. Including energy management, load balancing, fault monitoring, and real-time data analysis. By applying in these areas, edge computing can provide real-time data processing and decision support to achieve efficient operation and optimized management of power systems. Further, this study explores the challenges and opportunities presented by edge computing applications. We analyze the problems that edge computing may face in terms of data security, communication delay, and resource allocation, and propose corresponding solution strategies. At the same time, we emphasize the innovation and sustainability of edge computing applications in smart grids, providing new ideas and methods for the future development of power systems. Finally, this study summarizes the advantages and prospects of edge computing applications in smart grids based on IoT, and proposes directions for future research.

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