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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

共 7528 条记录，以下是121-130 订阅

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A grid-Connected Hybrid System Utilizing Solar and Waste of Chattogram City 3

A Grid-Connected Hybrid System Utilizing Solar and Waste of ...

引用

3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

作者： Kabir, Kazi Meharajul Khastagir, Shimanta Chashi, Md. Ashrafuzzaman Prairie View AandM University Department of ECE Texas United States University of Science and Technology Department of EEE Chittagong Bangladesh

ISBN: (纸本)9798350349207

Bangladesh is an agricultural-based country whose economy depends upon its agriculture. However, ur-banization and industrialization have changed over recent years. Therefore, it is now experiencing an acute electric power shortage and growing demand. So development is ham-pered because the Government does not mitigate this amount of demand. To minimize this demand, the Govern-ment proposed some mega-projects, such as nuclear, oil, and coal-based power plants in different parts of the country, which are conventional. Moreover, the nuclear power plant is un-suitable for overcoming this situation and requires higher safety facilities. So, N onconventional energy is the ultimate choice to reduce the power crisis because energy re-sources (solar, waste) are available in Bangladesh (city, rural) areas. For that reason, to reduce carbon emissions and meet en-ergy demands, a grid-connected solar and municipal waste biomass-based hybrid system has been proposed to mitigate the rising electricity demand in Bangladesh city corporation ar-eas. Patenga, Chittagong area, was chosen for the case study, where the solar source is excellent, and the availability of solid waste is remarkable. © 2024 ieee.

关键词： Hybrid systems

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IoT enabled Smart grid Integration with edge computing Method 3

IoT Enabled Smart Grid Integration with Edge Computing Metho...

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3rd international conference on Communication, computing and Digital Systems, C-CODe 2023

作者： Shah, Syed Naqi Haider Bahria University Dept. of Electrical Engineering Islamabad Pakistan

ISBN: (纸本)9798350332391

With the rapid growth of technologies, the Smart grid (SG) has attracted a lot of academic and commercial attention in recent years. Smart cities can achieve magnificent energy management through extensive monitoring and dependable communications by incorporating Internet of Things (IoT) technologies. However, when utilizing an IoT-based network configuration, long-term energy efficiency has become a significant challenge. In this paper, I present a comprehensive review of the development of a learning-based edge computing (eC) infrastructure-based IoT energy management system. The paper outlines a framework for an edge computing-based IoT system, providing a critical analysis of its benefits and challenges. © 2023 ieee.

关键词： edge computing

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Operation Simulation and Risk evaluation of New energy Integrated Distribution Network Under Typhoon 3

Operation Simulation and Risk Evaluation of New Energy Integ...

引用

3rd international conference on energy and electrical Power Systems (ICeePS)

作者： Wang, Qingling Li, Yanping Ao, Jianyong Liu, Jie Zhou, Baorong Cheng, Lanfen Xuan, Peizheng China Southern Power Grid Inst Management Sci Guangdong Power Grid Guangzhou Peoples R China China Southern Power Grid Guangdong Power Grid Yangjiang Power Supply Bur Yangjiang Peoples R China China Southern Power Grid CSG Elect Power Res Inst Guangzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

Regional power grids with integration of wind and photovoltaic (PV) generation are highly sensitive to extreme meteorological events. In this paper, two data-driven schemes are proposed to model and simulate the power demand sequences of loads as well as the power generation sequences of wind power and photovoltaic power plants during typhoon events by establishing a time-sequence model of loads based on the landfall time of the typhoon, and a time-sequence model of the new energy output based on the intensity of the typhoon and the path of the typhoon. On this basis, the operation simulation can be carried out to study the risk of high wind/PV penetration distribution system during typhoon event. The proposed scheme is tested in an 110kV regional network and a set of risk evaluation indices are calculation to present the impact of typhoon to the power supply reliability.

关键词： New energy generation Regional power grid Operation simulation extreme weather

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Research on Digital Transmission Line Path Planning Based on Hierarchical Reinforcement Learning 3

Research on Digital Transmission Line Path Planning Based on...

引用

3rd international conference on Smart Generation computing, Communication and Networking, SMART GeNCON 2023

作者： Li, Hongjiang Liu, Zaochen Wang, Dijin Yunnan Power Grid Co. Ltd. Kunming650100 China Technology Co. Ltd Kunming650032 China

ISBN: (纸本)9798350319125

With the development of smart grid, the path planning of digital transmission lines has become an important research direction. The path planning of transmission line is to determine the direction of transmission line reasonably according to the starting point and the end point of transmission line and various constraints along the way (such as terrain, environment, etc.). Hierarchical reinforcement learning is a new machine learning method, which divides the learning process into several levels, and each level can learn independently, thus improving the learning efficiency and effect. This paper will introduce the application of hierarchical reinforcement learning method in digital transmission line path planning. © 2023 ieee.

关键词： digital transmission lines hierarchical reinforcement learning hierarchical reinforcement learning theory Path

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Task-Independent evaluation Metrics of Carbon Nanotube Based In-Materio Reservoir computing 3

Task-Independent Evaluation Metrics of Carbon Nanotube Based...

引用

3rd international conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSeNS)

作者： Sheng, Zhoujun Zhou, Wenli Zhuang, Yan Li, Zhuoyu Wang, Yuyao Wang, Jiarui Li, Angdi Qi, Mengbo Duan, Yuyang Huazhong Univ Sci & Technol Sch Integrated Circuits Wuhan 430074 Peoples R China

ISBN: (纸本)9798350375220;9798350375213

Reservoir computing (RC) is a very lightweight machine learning framework, suitable for edge information processing in the era of IOT. Recently, increasing efforts on RC to be implemented using various novel materials and devices are emerging, such as carbon nanotube, memristor, etc. However, how to configure the reservoir's behavior suitable for a certain application is still an open problem. In this paper, our attention is paid to the behavior space of the reservoir including its all the currently available task-independent evaluation metrics, i.e., rank of kernel quality, rank of generalization capacity, information processing capacity, and memory capacity. A genetic algorithmis used to explore the space in order to identify the performance boundary of the reservoir. It is applied to characterize the computing capabilities of a carbon nanotube based in-materio reservoir system, eespecially to find its critical metric to implement the prediction of nonlinear series such as Nonlinear Autoregressive Moving Average with 10th order time-lag (NARMA 10) .

关键词： Reservoir computing Carbon nanotube Task-independent evaluation metrics

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Research on Distributed Photovoltaic Monitoring System Based on Internet of Things and Cloud computing 3

Research on Distributed Photovoltaic Monitoring System Based...

引用

3rd international conference on energy, Power and electrical Technology, ICePeT 2024

作者： Qin, Huiling Li, Shuang He, Chengyu Rao, Zhi Gan, Di China Southern Power Grid Company Limited Guangxi Power Grid Corporation Guangxi China China Southern Power Grid Company Limited Energy Development Research Institute Guangdong China

ISBN: (纸本)9798350352658

Due to the depletion of fossil fuels globally and the rapid advancement of solar power generating technologies, solar power generation has increasingly emerged as a viable method for energy development. The concept of a Distributed Photovoltaic Power System (DPPS) promotes the generation, connection to the grid, conversion, and utilisation of power in close proximity. This approach has the potential to significantly decrease the consumption of fossil fuels. Managing photovoltaic power stations is becoming challenging due to the proliferation of distributed solar power stations. This study proposes a distributed PV monitoring system that utilises the internet of things (IoT) and cloud computing. The system aims to achieve centralised management of several solar power stations. It offers cloud-based storage, data processing, and retrieval, and delivers a wide range of information to the client. A comprehensive explanation of the operational principles and execution procedure of the suggested plan is provided. This paper discusses a case study focused on achieving remote monitoring and control. In addition, the text explores the interconnected cycle of data generation, transmission, processing, and presentation. © 2024 ieee.

关键词： Distributed cloud

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An edge computing Framework for Data Analysis in Intelligent Transportation Systems 3

An Edge Computing Framework for Data Analysis in Intelligent...

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3rd international conference for Innovation in Technology, INOCON 2024

作者： Sharma, Sumit Bali, Rasmeet Singh Chandigarh University Computer Science Engineering Punjab India

ISBN: (纸本)9798350381931

Intelligent Transportation Systems (ITS) have been identified as a key application of the Internet of Things (IoT). In order to reduce latency and bandwidth needs, edge computing offers a distributed computing architecture that can process and analyse data closer to the source. In this paper, we propose an edge computing framework for data analysis in ITS and present experimental results to evaluate its performance. The proposed framework aims to address the challenges associated with traditional data analysis techniques by leveraging the power of distributed computing resources, advanced analytics, and real-time processing capabilities. The rationale behind the framework's design and architecture is to improve the efficiency, scalability, and adaptability of ITS solutions, ensuring faster decision-making, reduced latency, and enhanced overall transportation performance. © 2024 ieee.

关键词： edge computing

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Patrol Route Optimization Based on Inversion Algorithm 3

Patrol Route Optimization Based on Inversion Algorithm

引用

3rd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2024

作者： Yang, Xi Yang, Shuangshun Qiu, Fengyu Gao, Chong Jiangmen Power Supply Bureau Guangdong Power Grid Co. Ltd. Guangdong Province Jiangmen City China

ISBN: (纸本)9798331519032

Patrol route optimization is not only related to flight safety and efficiency, but also directly related to many aspects such as resource utilization and environmental protection. However, some unreasonable route planning leads to flight conflicts, weather, mechanical failure, traffic control and other reasons cause delays or cancellations. Therefore, this paper believes that we should strengthen route planning and optimization, improve the on-time rate of flights, increase the frequency of inspection and the number of inspection personnel, improve the quality and coverage of inspection. In this paper, the methods of numerical simulation and experimental test are used to analyze and compare patrol routes. The experimental results show that the coverage of the inversion algorithm is improved by 14%, 14%, 13% and 14%, respectively, compared with the traditional method. The inversion algorithm achieves higher coverage. © 2024 ieee.

关键词： Air traffic control

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Mobility for future V2G mass deployment scenarios 3

Mobility for future V2G mass deployment scenarios

引用

3rd international conference on energy Transition in the Mediterranean Area, SyNeRGY MeD 2024

作者： Bakaimis, Byron Tsiamitros, Dimitrios Stimoniaris, Dimitrios Lettas, Nikolaos Dagoumas, Athanasios University of Western Macedonia Kozani Greece Innora PC Kozani Greece University of Piraeus Regulatory Authority for Waste Energy and Water Greece

ISBN: (纸本)9798350375923

V2G (Vehicle to grid) is a concept that aims to utilize the capacity of vehicle batteries when vehicles (primarily cars) are stationary. It effectively gives rise to a bi-directional flow of energy between vehicles and the "grid"and "sees"them either as "storage"or as a (virtual) source of energy in order to provide services related to e.g. ancillary services-frequency regulation. Such a concept aims to make better use of network resources and provide a homogeneous flow and utilization of energy among stakeholders e.g. producers, consumers etc. In this paper we will sketch a future scenario of a mass deployment of V2G-enabled vehicles and investigate on a system-level basis the "mobility"dimension present in mobile communication networks. © 2024 ieee.

关键词： Vehicle-to-grid

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StraightLine: An end-to-end Resource-Aware Scheduler for Machine Learning Application Requests 3

StraightLine: An End-to-End Resource-Aware Scheduler for Mac...

引用

3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

作者： Ching, Cheng-Wei Guan, Boyuan Xu, Hailu Hu, Liting University of California Santa Cruz Department of Computer Science and Engineering Santa CruzCA United States Center of Florida International University MiamiFL United States California State University Department of Computer Engineering and Computer Science Long BeachCA United States

ISBN: (纸本)9798331530280

The life cycle of machine learning (ML) applications consists of two stages: model development and model deployment. However, traditional ML systems (e.g., training-specific or inference-specific systems) focus on one particular stage or phase of the life cycle of ML applications. These systems often aim at optimizing model training or accelerating model inference, and they frequently assume homogeneous infrastructure, which may not always reflect real-world scenarios that include cloud data centers, local servers, containers, and serverless platforms. We present StraightLine, an end-to-end resource-aware scheduler that schedules the optimal resources (e.g., container, virtual machine, or serverless) for different ML application requests in a hybrid infrastructure. The key innovation is an empirical dynamic placing algorithm that intelligently places requests based on their unique characteristics (e.g., request frequency, input data size, and data distribution). In contrast to existing ML systems, StraightLine offers end-to-end resource-aware placement, thereby it can significantly reduce response time and failure rate for model deployment when facing different computing resources in the hybrid infrastructure. © 2024 ieee.

关键词： Resource allocation

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