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检索条件"任意字段=International Conference on Grid Computing and Applications"

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2nd international conference on Security and Information Technologies with AI, Internet computing and Big-data applications, SITAIBA 2023

2nd International Conference on Security and Information Tec...

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2nd international conference on Security and Information Technologies with AI, Internet computing and Big-data applications, SITAIBA 2023

ISBN: (纸本)9789819777853

The proceedings contain 46 papers. The special focus in this conference is on Security and Information Technologies with AI. The topics include: Authentication of Image Fidelity in Watermarking-QR-Code Approving Copyright Systems;a Zero-Watermarking Image Scheme in Normalized Cross-Correlation with Robust Copyright Protections;a Novel Approach for Detecting and Analyzing Cyber-Attacks in Cyber-Physical Systems;white-Box Penetration Testing for Hash Collision Attack on Web applications;towards Zero Trust for Financial Sectors: A Proposed Framework on Trust Evaluation;FiT-DPKI: Decentralized Public Key Infrastructure with Flexibility and Transparency for IoT Networks;Revolutionizing Healthcare: Case Studies of AI Algorithms Transforming the Field of Medicine;analysis and Detection of Abnormal Transactions on Ethereum;feasibility Analysis Study on Constructing a grid Intrusion Detection System Using Semi-supervised Learning Models;Securing NLP Systems: A Comprehensive AI-Based Approach;A New Scheme Modeling Gym Membership Transactions with NFT Systems;A Text to Human-Like Speech Using Tacotron-Based TTS Model;A Novel Malware Classification Using CNN-SVM Deep Learning Method Based on Transfer Learning Architecture;enhancing Project Programming Hour Prediction with Regression Analysis Techniques—A Case Study of Company D;a New Traceable One-Time Address Scheme Secure Against Privilege Escalation Attack;An Object-Based Multi-level Authentication Framework for AR e-Book;a Door Lock System Based on Visual Cryptography;Automatic APT Attack Reconstruction Supporting Lateral Movement;using Open-Source Intelligence to Archive Criminal Organizations;FIDO-Based Access Control Mechanism in Named Data Networking;empirical Approach to a Fine-Tuning Using Forgetting in Large Language Models;automatic Wound Segmentation with Deep Convolutional Neural Networks;Prediction of the Prevalence of COVID-19 Using Epidemic Differential Equations and Deep Learning Network.

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Application of Intelligent Techniques in Smart grid Automation 4

Application of Intelligent Techniques in Smart Grid Automati...

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4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Babu, Manish Kumar Ray, Papia Swain, Anita Department of EE VSSUT Burla India Department of ECE BCE Khordha India

ISBN: (纸本)9798331530402

The smart grid is an advanced power system network that integrates cutting-edge technologies to enable efficient, reliable, and sustainable energy generation, distribution, and utilization. This paper provides a comprehensive survey of intelligent techniques, including machine learning for load forecasting and fault detection, optimization algorithms for demand-side management and renewable energy integration, and data analytics for real-time grid monitoring and decision-making. These approaches enhance grid performance by improving flexibility, operational efficiency, and resilience to disruptions. Specific examples, such as predictive maintenance using machine learning and optimization-based energy scheduling for microgrids, are discussed to illustrate their practical applications. The paper also explores challenges like cybersecurity and data quality, offering potential mitigation strategies. Additionally, successful implementations and their outcomes are highlighted, showcasing the transformative impact of intelligent techniques on smart grid automation. Finally, future research directions, such as leveraging blockchain for secure transactions and quantum computing for advanced optimizations, are identified to guide advancements in this field. © 2025 IEEE.

关键词： Qubits

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O(1)-Round MPC Algorithms for Multi-Dimensional grid Graph Connectivity, Euclidean MST and DBSCAN 28

O(1)-Round MPC Algorithms for Multi-Dimensional Grid Graph C...

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28th international conference on Database Theory, ICDT 2025

作者： Gan, Junhao Wirth, Anthony Zhang, Zhuo The University of Melbourne Australia

ISBN: (纸本)9783959773645

In this paper, we investigate three fundamental problems in the Massively Parallel Computation (MPC) model: (i) grid graph connectivity, (ii) approximate Euclidean Minimum Spanning Tree (EMST), and (iii) approximate DBSCAN. Our first result is a O(1)-round Las Vegas (i.e., succeeding with high probability) MPC algorithm for computing the connected components on a d-dimensional c-penetration grid graph ((d, c)-grid graph), where both d and c are positive integer constants. In such a grid graph, each vertex is a point with integer coordinates in Nd, and an edge can only exist between two distinct vertices with ∞-norm at most c. To our knowledge, the current best existing result for computing the connected components (CC’s) on (d, c)-grid graphs in the MPC model is to run the state-of-the-art MPC CC algorithms that are designed for general graphs: they achieve O(log log n + log D) [10] and O(log log n + logλ1) [8] rounds, respectively, where D is the diameter and λ is the spectral gap of the graph. With our grid graph connectivity technique, our second main result is a O(1)-round Las Vegas MPC algorithm for computing approximate Euclidean MST. The existing state-of-the-art result on this problem is the O(1)-round MPC algorithm proposed by Andoni et al. [5], which only guarantees an approximation on the overall weight in expectation. In contrast, our algorithm not only guarantees a deterministic overall weight approximation, but also achieves a deterministic edge-wise weight approximation. The latter property is crucial to many applications, such as finding the Bichromatic Closest Pair and Single-Linkage Clustering. Last, but not least, our third main result is a O(1)-round Las Vegas MPC algorithm for computing an approximate DBSCAN clustering in O(1)-dimensional Euclidean space. © Junhao Gan, Anthony Wirth, and Zhuo Zhang.

关键词： Trees (mathematics)

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Micro-PMU Data-Driven Anomalous Voltage Event Detection for the Power Distribution System 12th

Micro-PMU Data-Driven Anomalous Voltage Event Detection for...

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12th international conference on Frontiers of Intelligent computing: Theory and applications, FICTA 2024

作者： Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti Department of Computer Science and Applied Computing London Metropolitan University 166–220 Holloway Rd. LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601424

As Distributed Energy Resources become more integrated into the power grid, the complexity and scale of challenges faced by grid operators have increased. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of information presents its own set of obstacles. This study examines thirty days of micro-PMU data from April 2023, employing statistical analysis and unsupervised learning techniques to identify various voltage events over time. Real-world data from grid-connected solar farms in Norfolk, England, are utilized to detect and analyze these voltage events, as well as to explore their distinct patterns. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Power grids

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Enabling grid Stability: Harnessing μPMU Data for Data-Driven Analysis of grid Frequency Events 12th

Enabling Grid Stability: Harnessing μPMU Data for Data-Driv...

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12th international conference on Frontiers of Intelligent computing: Theory and applications, FICTA 2024

作者： Singh, Uttam Dey, Maitreyee Patel, Preeti Department of Computer Science and Applied Computing London Metropolitan University 166-220 Holloway Rd LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601462

The surge in distributed energy resources connected to the power grid has significantly heightened challenges for grid operators. While the integration of micro-synchrophasor unit (μPMU) into the power grid infrastructure has facilitated the acquisition of high-resolution data, analyzing such vast datasets presents its own set of challenges. This paper offers insights into fifty days of μPMU data through data analysis techniques focusing on frequency events within the operational and hazardous ranges. Drawing from fifty days of real-world data collected from grid-connected solar farm in England, this paper examines and analyzes multiple frequency events while enhancing comprehension of their diverse patterns. Additionally, this study has explored the isolation forest model for anomalous event detection, with results validated against power quality data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Power grids

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Intelligent Energy Management Strategies for Renewable Energy Sources 1

Intelligent Energy Management Strategies for Renewable Energ...

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1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

作者： Patil, Sangita Deotale, Disha Mali, Ramesh MIT School of Computing MIT ADT University Department of Electrical & Electronics Engineering Pune412201 India MIT School of Computing MIT ADT University Department of Computer Science & Engineering Pune412201 India

ISBN: (纸本)9798350355611

There have been several developments in renewable resources, standby sources of energy, and storage technologies. Because renewable sources are inconsistent, the best method to ensure supply continuity is to combine them with traditional energy to serve mini-grids or the isolated loads that are not linked to the main grid. In hybrid power system, many different energy sources are blended. Every time, effective and efficient Energy Management Strategies (EMS) are necessary when more than a source of energy is employed to supply a given load. This strategy directs the energy flow via the supply chain. This is necessary not just for standalone hybrid systems, but for hybrid power system that are linked to the main network. The intelligent control of hybrid MG has been the subject of a large number of serious research projects. A comprehensive assessment of the approaches used by a number of writers in their research work on applying energy management approaches is conducted. Standalone hybrid energy systems and the hybrid systems those are linked to the electrical grids are examples of these solutions. The aim of this paper is to give summary of various energy management schemes utilized in sustainable hybrid systems. Brief study is conducted for a number of freestanding and grid-linked hybrid system designs in order to make sure and find that which energy management technique that works well and will be applied for one renewable source is not always the best for another. © 2025 IEEE.

关键词： Hybrid power

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Enhancing Troubleshooting Task-Oriented Dialog Systems with Large Language Models 1

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17th international conference on Intelligent Robotics and applications

作者： Zhou, Jiahao Zhang, Qiang Zhang, Fengda Yuan, Caixia Beijing Univ Posts & Telecommun Beijing Peoples R China State Grid Smart Grid Res Inst CoLtd Beijing Peoples R China State Grid Shandong Elect Power Res Inst Jinan Peoples R China

ISBN: (数字)9789819607921

ISBN: (纸本)9789819607914;9789819607921

Task-oriented dialog (TOD) systems use external knowledge sources to help users accomplish specific tasks. While most current TOD research focuses on simple information-collecting tasks in a slot-filling framework, multi-step reasoning tasks like troubleshooting remain under-explored. Leveraging the advancements of large language models (LLMs), we propose a novel LLM-based multi-agent learning framework to build troubleshooting dialogue systems and evaluate the effectiveness of various multi-agent learning settings in a TOD system. Our results show that LLMs designed for open-domain dialog face challenges when directly applied to TOD systems, but with multi-agent cooperative enhancements, LLMs can achieve commendable performance.

关键词： Large Language Model Task Oriented Dialog System Multi-agent

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A power flow control unit for Vehicle-to-grid (V2G) and grid-to-Vehicle (G2V) modes of Electric Vehicles 4

A power flow control unit for Vehicle-to-Grid (V2G) and Grid...

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4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Narendramudra, N.G. Harikumar, Devika Rajeev, T. Dept of Electrical Engineering College of Engineering Trivandrum APJ Abdul Kalam Technological University Kerala India

ISBN: (纸本)9798331530402

Electric vehicles (EVs) are becoming increasingly popular due to their zero emissions and low noise levels, which address environmental and energy issues. With the increasing integration of EVs into the power grid, efficient power conversion systems are essential for bidirectional power flow. This work aims to establish vehicle-to-grid (V2G) integration, and this concept is crucial to balancing energy supply and demand. The bidirectional charger of an Electric Vehicle supports the V2G feature, which can help minimize peak electricity demand. This paper investigates the performance of Dual Active Bridge (DAB) and Buck-Boost converters in grid-to-Vehicle (G2V) and Vehicle-to-grid (V2G) modes of electric vehicles using state-of-charge control. The control methodologies for both converters are discussed in detail, focusing on their application in G2V and V2G modes. Simulation results using MATLAB Simulink and experimental data are provided to validate the analysis, highlighting the strengths and weaknesses of each converter type in these specific EV applications. © 2025 IEEE.

关键词： Electric power transmission networks

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Single Phase Transformerless grid Connected PV Inverter Configurations: A Comparative Analysis 4

Single Phase Transformerless Grid Connected PV Inverter Conf...

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4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Joddumahanthi, Vijaychandra Sahu, Niharika Behera, Santi VSSUT Odisha Burla India

ISBN: (纸本)9798331530402

Power inverters play a crucial role in photovoltaic system (PVs) applications. Transformer less inverters pose several advantages over transformer-based PV inverters, including decreased size, minimal cost, and better efficiency by eliminating the need for a transformer. However, a major drawback is the leakage current which is caused due to the absence of galvanic isolation between the PV panels and grid. This research presents performance analysis of H4, H5, H6 and Improved H6 inverters simulated in MATLAB/SIMULINK software to minimize the leakage current. © 2025 IEEE.

关键词： Leakage currents

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Cloud computing in Enhancing the Efficiency and Integration of Alternative Energy Systems 2

Cloud Computing in Enhancing the Efficiency and Integration ...

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2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Sahoo, Amiya Kumar Prusty, Sucharita Jayasingh, Suvendra Kumar Swain, Asish Kumar Mohanta, Hemanta Kumar Aryan Institute of Engineering and Technology Odisha Bhubaneswar India Institute of Management and Information Technology BPUT Odisha Cuttack India

ISBN: (纸本)9798331530389

In response to growing environmental concerns and the need for sustainable development, alternative energy systems have emerged as crucial solutions to the problems associated with fossil fuels. This research focuses on the significant role cloud computing plays in improving the efficiency and integration of various alternative energy systems such as solar, wind, hydropower, biomass, geothermal, and tidal/wave energy. The study explores how cloud computing technologies enable real-time data processing, storage, and analysis of the large datasets generated by these renewable energy sources, thus optimizing their performance and integration into the energy grid. Cloud computing provides advanced data management tools that are vital for managing the variable and intermittent nature of renewable energy production. By utilizing cloud-based platforms, energy producers can achieve improved forecasting, load balancing, and energy distribution, which are essential for enhancing efficiency and reliability. Additionally, this research highlights how cloud computing fosters collaboration and innovation by offering a scalable and flexible infrastructure. This infrastructure supports the development of new technologies and applications within the renewable energy sector, promoting continuous advancements and breakthroughs. This research underscores the crucial role of cloud computing in advancing a sustainable energy future. © 2025 IEEE.

关键词： Cloud platforms

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