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Real-time pricing method through market auction based on multi-agent reinforcement learning 8

Real-time pricing method through market auction based on mul...

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8th international conference on Power and Renewable Energy, ICPRE 2023

作者： Hong, Peng He, Shuping Fang, Xiaohan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

With the development of distributed energy systems, pricing different energy sources in microgrids has become a significant challenge. To solve this problem, this paper proposes an real-time pricing method through market auction based on multi-agent reinforcement learning. the energy supply side provides different energy production and quotations, while consumers on the energy demand side freely quote and purchase the required energy in the energy market based on their own needs. the final transaction price of different energy sources is determined by the quotes of the buyer and seller who have reached the transaction. the simulation results indicate that the proposed pricing method have a good performance. © 2023 IEEE.

关键词： Market auction Multi-agent reinforcement learning Real-time pricing

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A Fundamental Analysis of Standardization for Blockchain and distributed Ledger Technologies in ISO 9

A Fundamental Analysis of Standardization for Blockchain and...

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9th IEEE international conference on Cyber Security and Cloud computing and 8th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2022

作者： Chen, Xiaofeng Zhang, Lu Zhang, Yijian Du, Jingyi Jia, XiangJuan Yang, Xiaohu Zhejiang University Hangzhou Qulian Technology Co. Ltd. Blockchain Research Center Hangzhou China Zhejiang University Blockchain Research Center Hangzhou China

ISBN: (数字)9781665480666

ISBN: (纸本)9781665480666

Blockchain and distributed Ledger Technology (DLT) are becoming important driving forces for a new round of scientific and technological development. the construction of blockchain information infrastructure has risen to a national strategic height. the industrial applications of Blockchain and DLT are developing and landing rapidly. At present, it has included many fields such as finance, government affairs and justice. At the same time, blockchain and DLT will have a far-reaching impact on international scientific, technological and economic development. For the healthy and orderly development of the blockchain and DLT industry, blockchain and DLT standards are being drafted, released and implemented one after another. this paper analyzes the current situation of international blockchain and DLT standardization and arranges the current situation of blockchain standardization working group in ISO. this paper introduces the organizational structure of ISO and the specific work of the working group, arranges all the blockchain related standards currently under development by ISO, and makes relevant analysis on the standard stage, standard content and standard classification;At the same time, it defines the direction of in-depth participation in ISO international standards and helps the development of international standardization of blockchain and DLT. © 2022 IEEE.

关键词： Standardization

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Fault Location of Distribution Network with distributed Generation Based on BAS-PSO 8th

Fault Location of Distribution Network with Distributed Gene...

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8th international conference on computing, Control and Industrial Engineering, CCIE 2024

作者： Wang, Jing Peng, Yuefeng Zuo, Zhengqin Ren, Haige Wu, Xingxiu Liang, Yujie Tongren Power Supply Bureau of Guizhou Power Grid Co. Ltd Tongren554300 China

ISBN: (纸本)9789819769339

A Particle Swarm Optimization algorithm (BAS-PSO) based on the Tencent Bull whisker search algorithm is proposed to address the drawbacks of long localization time and easy falling into local optima when using particle swarm optimization to locate faults in distribution networks with distributed power sources. the algorithm first utilizes the Longhorn whisker search algorithm to optimize the initial population of the particle swarm optimization algorithm, producing a high-quality initial population;Secondly, establish a mathematical model for fault location in distribution networks with distributed power sources, and use an improved particle swarm optimization algorithm to iteratively generate the optimal solution, achieving the goal of accurately locating the fault section. Using the IEEE33 node distribution network model as a carrier, simulation experiments were conducted for single point, multi-point faults, and incorrect information uploaded by FTUs. the experimental results show that the BAS-PSO algorithm can quickly and accurately locate faults in distribution networks containing distributed power sources. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Power distribution faults

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Vision: Information-Centric Dataflow - Re-Imagining Reactive distributed computing 8

Vision: Information-Centric Dataflow - Re-Imagining Reactive...

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8th ACM conference on Information-Centric networking (ICN)

作者： Kutscher, Dirk Al Wardani, Laura Gias, T. M. Rayhan Univ Appl Sci Emden Leer Emden Germany

ISBN: (纸本)9781450384605

this paper describes an Information-Centric Dataflow system that is based on name-based access to computation results, NDN PSync dataset synchronization for enabling consuming compute functions to learn about updates and for coordinating the set of compute functions in a distributed Dataflow pipeline. We describe how relevant Dataflow concepts can be mapped to ICN and how data-sharing, data availability and scalability can be improved compared to stateof-the-art systems. We also provide a specification of an applicationindependent namespace design and report on our experience with a first prototype implementation.

关键词： Information-Centric networking distributed computing Dataflow

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A Demand Side Adjustable Load Cluster Regulation Method Based on Alternating Direction Multiplier Method 8

A Demand Side Adjustable Load Cluster Regulation Method Base...

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8th international conference on Power and Renewable Energy, ICPRE 2023

作者： Shao, Chong Liu, Zhiwen Li, Yan Hong, Yuejia Cheng, Ran Duan, Yao China Southern Power Grid Energy Development Research Institute GuangZhou China Guangdong Power Grid Co. Ltd. Grid Planning & Research Center GuangZhou China

ISBN: (纸本)9798350328813

On the demand side, a large number of adjustable load clusters are connected to the distribution network as diversified stakeholders. In order to reduce its electricity cost and improve the local consumption rate of new energy, it is necessary to study the fine control strategy of adjustable load cluster to guide its optimal operation when connected to the distribution network. this paper proposes a demand-side adjustable load cluster control method. Firstly, a cooperative game model of multi-adjustable load cluster is established based on Nash negotiation theory. then, the revenue is distributed in an asymmetric bargaining manner, and the objective function is decomposed into two subproblems: alliance cost minimization and intra-cluster revenue distribution. Finally, the alternating direction method of multipliers (ADMM) is used to solve the problem iteratively. the example verification shows that the proposed method has good convergence performance and computational efficiency, gives full play to the regulation potential of the adjustable load cluster, and effectively reduces the operating cost. © 2023 IEEE.

关键词： Adjustable load Alternating direction multiplier method Cluster method distributed computing

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Electric Power Scam Prediction Using Machine Learning Techniques 8th

Electric Power Scam Prediction Using Machine Learning Techni...

引用

8th international conference on Information System Design and Intelligent Applications, ISDIA 2024

作者： Suresh, A. Vishnoi, Mahendra Mishra, Aditya Kumar Department of Networking and Communications School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur TamilNadu Chengalpattu603203 India

ISBN: (纸本)9789819765805

Electricity fraud is causing huge losses in both the public and private sectors. the proposition of this paper uses a temporarily controlled learning program to include potential theft data from non-specific data on the existence of multiple sample theft. there are two basic applications, one anticipating the use of power and the other to create a broken application and analysis space. Both are rushing for power protection in creating configuration, redesign, and functionality. Because of the significant costs of energy acquisition, as a restricted measure of energy assets, the efficient and effective use of energy assets is an important part of social and financial development in any country. this work introduces two accounting frameworks for the detection of theft of high- and low-power consumers who rely on machine learning. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Adversarial machine learning

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WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for distributed Surveillance 18

WideVision: A Low-Power, Multi-Protocol Wireless Vision Plat...

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18th international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Scherer, Moritz Sidler, Fabian Rogenmoser, Michael Magno, Michele Benini, Luca Swiss Fed Inst Technol Dept Informat Technol & Elect Engn Zurich Switzerland Univ Bologna Dept Elect Elect & Informat Engn Bologna Italy

ISBN: (数字)9781665469753

ISBN: (纸本)9781665469753

the trend in Internet of things research points toward performing increasingly compute-intensive data analysis tasks on embedded sensor nodes, rather than server centers. Exploiting the technological advances in both energy efficiency, and Tiny Machine Learning algorithms and methods, an increasing number of recognition and classification tasks can be performed by small, low-power, wireless sensor nodes. this paper presents WideVision, a wireless, wide-area sensing platform capable of performing on-board person detection with power requirements in the mW range. the WideVision platform integrates seamlessly into the Internet of things, by coupling a dedicated multiradio platform, including a LoRa interface, enabling medium and long-range communication, with a novel parallel RISC-V microcontroller. We evaluate the proposed platform with the GAP8 microcontroller, which includes an 8-core RISC-V cluster, and greyscale camera to perform person detection by training and deploying an advanced, quantized neural network, achieving a statistical accuracy 84.5% for a 5-person detection task with a latency of only 182 ms. Experimental results demonstrate that the WideVision sensor node platform while performing inference at a rate of one image per minute on-board, is capable of lasting 300 days on a 2400 mAh Li-ion battery, and 65 days when evaluating one image per 10 seconds while providing effective surveillance of its perimeter.

关键词： Wireless communication Training Wireless sensor networks Power measurement Microcontrollers Surveillance Battery charge measurement

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Weak Network Oriented Mobile distributed Storage: A Hybrid Fault-Tolerance Scheme Based on Potential Replicas 24

Weak Network Oriented Mobile Distributed Storage: A Hybrid F...

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24th IEEE international conference on High Performance computing and Communications, 8th IEEE international conference on Data Science and Systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wei, Xinlei Tan, Yujuan Liu, Duo Wu, Daitao Wu, Yu Chen, Xianzhang Li, Jian College of Computer Science Chongqing University Chongqing China School of Big Data and Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

ISBN: (纸本)9798350319934

Node failure is one of the most typical issues in distributed storage systems. the classic fault-tolerance methods can meet the fault tolerance needs of systems deployed in edge storage, 5G IoT, and other high-performance data centers. However, mobile distributed systems contend with inconsistent network signals and relatively low bandwidth in weak network environments. the traditional fault-tolerance schemes have difficulty ensuring distributed storage and data repair simultaneously, posing a considerable challenge to data storage reliability. To address this problem, we proposed a hybrid fault-tolerance scheme based on potential replicas, called HFPR, which trades off storage overhead and performance for weak network mobile distributed storage systems. HFPR first stores data with the erasure code redundancy and then gradually increases data redundancy by reserving potential replicas, enabling the system to disperse network transmission pressure and reduce network transmission. To maximize replica utilization and control the storage overhead of potential replicas, we design a node state prediction mechanism and a file lifecycle management mechanism. Evaluation results show that, compared with the traditional hybrid fault-tolerant scheme with the same storage overhead, HFPR achieves better replica-level repair efficiency in data repair and a reduced probability of degraded reads by approximately 50%. During data distribution, HFPR can minimize data write amplification by up to 1.1× and additional network transfers by up to 77.5%. © 2022 IEEE.

关键词： Fault tolerance

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Discussion on Network Information Security Based on Cloud computing Environment 8

Discussion on Network Information Security Based on Cloud Co...

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8th Annual international conference on Network and Information Systems for Computers, ICNISC 2022

作者： Chen, Ting Liu, Haiyan Industrial & Internet College Beijing Information Technology College Beijing China

ISBN: (纸本)9781665453516

With the explosive advancement of social development and technological change, cloud computing technology has developed rapidly in China in recent years. Data and information security in cloud computing environment has become the focus of attention. Cloud computing technology integrates a large number of computers scattered on the network to build a powerful computer cloud. Computers distributed on this network can read and write data and obtain services according to needs, so as to provide powerful computer cloud platform services. Cloud computing technology is developing rapidly, but there are also many problems. On this cloud platform, how to ensure the security of data stored in the network environment is an urgent problem to be solved. On the one hand, this paper discusses the concept and characteristics of cloud computing technology. On the other hand, it discusses how to ensure data security in the cloud computing environment. © 2022 IEEE.

关键词： Economic and social effects

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AI-Driven User Experience Design: Exploring Innovations and Challenges in Delivering Tailored User Experiences 8

AI-Driven User Experience Design: Exploring Innovations and ...

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8th international conference on Information Technology Research, ICITR 2023

作者： Padmasiri, Prasadini Kalutharage, Pramukthika Jayawardhane, Nethma Wickramarathne, Jagath Sri Lanka Institute of Information Technology Faculty of Graduate Studies and Research Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9798350359503

In today's digital landscape, providing user experiences is considered paramount in respective of user satisfaction and engagement. Artificial Intelligence (AI) has emerged as a transformative force in the User Experience (UX) design field, offering innovative solutions. Our research delves into key innovations and challenges enabled by AI in UX design particularly guided by Design thinking (DT) process. the methodology involved administering a questionnaire to UX professionals in Sri Lanka using a snowball sampling method. the questionnaire, distributed through online platforms, explored participants' familiarity with AI-driven UX design, contributions of AI in the DT process, and challenges faced, and the responses were analyzed using MS Excel and R Studio. the results demonstrate that AI technologies certainly empower UX professionals to design user-centric solutions adhering to DT process. A 'Recommendation Guide' is provided, featuring a set of recommended tools for UX professionals to integrate AI technologies into the DT process. © 2023 IEEE.

关键词： Artificial intelligence

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