☆ 4.7 Article

Cloud-Edge Orchestrated Power Dispatching for Smart Grid With Distributed Energy Resources

IEEE TRANSACTIONS ON CLOUD COMPUTING (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Information Systems

Cognitive Balance for Fog Computing Resource in Internet of Things: An Edge Learning Approach

Siyi Liao et al.

Summary: This paper proposes a cognition-centric fog computing resource balancing scheme to address the imbalance of edge computing resources in the Internet of Things (IoT). The scheme includes a cognition balance architecture, fog functions structure, and a distributed edge learning algorithm, enabling knowledge-driven resource sharing and dynamic orchestration.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

Xi Lin et al.

Summary: This article proposes a wirelessly powered edge intelligence framework to achieve stable, robust, and sustainable edge intelligence through energy harvesting methods. The use of a permissioned edge blockchain ensures secure energy and knowledge sharing. The article also investigates a wirelessly powered multiagent edge learning model and designs an optimal learning strategy.

IEEE INTERNET OF THINGS JOURNAL (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Converter-Based Moving Target Defense Against Deception Attacks in DC Microgrids

Mengxiang Liu et al.

Summary: This paper proposes a converter-based moving target defense strategy to defend against deception attacks in DC microgrids by proactively perturbing the primary control gains. Experimental results demonstrate the effectiveness of the proposed strategy.

IEEE TRANSACTIONS ON SMART GRID (2022)

Add to Collection

Article Computer Science, Information Systems

Distributed Energy Management for Multiple Data Centers With Renewable Resources and Energy Storages

Guanglin Zhang et al.

Summary: This article investigates the energy management problem of geo-distributed data centers with renewable resources and energy storages. By leveraging the spatiotemporal diversity of system states, the goal is to minimize the long-term operation cost including electricity cost, water consumption, and carbon emission. The article proposes an online algorithm using Lyapunov optimization technique and a distributed algorithm based on the ADMM framework.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data Centers

Xiaofeng Hou et al.

Summary: This article discusses the importance of resilient energy management in data centers and proposes a solution called IPAD to defend against malicious loads that drain energy backup and compromise workload performance.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Optimal Incentive Strategy in Cloud-Edge Integrated Demand Response Framework for Residential Air Conditioning Loads

Qiangang Jia et al.

Summary: This paper proposes an edge-cloud integrated demand response framework that combines edge devices and cloud computing resources to implement demand response plans and uses reinforcement learning algorithms to obtain optimal incentive strategies. Simulation results demonstrate that the framework can increase social welfare.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Dynamic Price-Enabled Strategic Energy Management Scheme in Cloud-Enabled Smart Grid

Ayan Mondal et al.

Summary: The problem of high-quality energy service provisioning in the presence of competitive prosumers and microgrids in cloud-enabled smart grid is studied. A dynamic cloud-based pricing scheme named SmartPrice is proposed to enforce cooperation among prosumers and improve the performance of the smart grid. The use of SmartPrice reduces the unit energy price charged from the prosumers and increases the number of prosumers served by the microgrids.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Optimal Energy Trading With Demand Responses in Cloud Computing Enabled Virtual Power Plant in Smart Grids

Hwei-Ming Chung et al.

Summary: This article proposes a computational architecture combining energy trading and demand responses based on cloud computing for managing virtual power plants (VPPs) in smart grids. EVs can be charged rapidly by purchasing energy in the cloud, while users with storage devices can sell surplus energy to the market. By modeling the interactions between EV owners and VPPs as a non-cooperative game, a Nash equilibrium is sought to maximize revenue and minimize charging costs.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)

Add to Collection

Article Automation & Control Systems

Leveraging Energy Function Virtualization With Game Theory for Fault-Tolerant Smart Grid

Kuan Wang et al.

Summary: The smart grid is essential for industrial manufacturing and residential living, but faces challenges in reliability and flexibility due to centralized grid equipment and large number of personal devices. To address these issues, energy function virtualization is proposed to separate energy functions from physical infrastructure, allowing for faster deployment and better utilization of resources. Additionally, optimized network calculus performance assessment and game theory-based resource orchestration schemes are introduced to incentivize prosumers and improve emergency response time.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Add to Collection

Article Computer Science, Theory & Methods

CPDE: A Methodology for the Transparent Distribution of Centralized Smart Grid Programs

Thi Thanh Quynh Nguyen et al.

Summary: A new distributed programming methodology called CPDE is proposed for control and management in smart grids. Experimental results show that CPDE has clear benefits compared to traditional methods, such as ease of use and performance.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Optimal Energy Storage Allocation for Mitigating the Unbalance in Active Distribution Network via Uncertainty Quantification

Han Wang et al.

Summary: This paper presents a two-stage uncertainty quantification and unbalance mitigation framework to address voltage unbalance (VU) issues in active distribution networks, quantifying and mitigating the impact of variable DERs on VU. The framework utilizes global sensitivity analysis and joint allocation of energy storage devices to effectively tackle VU problems.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2021)

Add to Collection

Article Computer Science, Information Systems

A Power Consumption Model for Cloud Servers Based on Elman Neural Network

Wentai Wu et al.

Summary: The paper introduces a server power consumption model based on Elman Neural Network (PCM-ENN) which allows accurate and flexible power estimation. Experimental results show that PCM-ENN generated accurate estimates on server power consumption with only small errors, outperforming widely-used linear regression model and NARX model in terms of accuracy.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2021)

Add to Collection

Article Computer Science, Information Systems

Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System

Basudeb Bera et al.

Summary: In DBACP-IoTSG, a new blockchain-based access control protocol for IoT-enabled smart-grid system, data is securely transmitted from smart meters to service providers. Comparative analysis using MIRACL shows that DBACP-IoTSG offers more functionality features, better security, and lower costs compared to recently proposed schemes.

IEEE INTERNET OF THINGS JOURNAL (2021)

Add to Collection

Article Computer Science, Hardware & Architecture

SECURITY AND PRIVACY FOR MOBILE EDGE CACHING: CHALLENGES AND SOLUTIONS

Jianbing Ni et al.

Summary: Mobile edge caching is a promising technology that can effectively improve service environments and cloud-storage capabilities in next-generation mobile networks, while also facing threats such as privacy violations and security breaches. Key issues regarding why, where, what, and how to cache need to be addressed, along with potential techniques for privacy protection, secure content delivery, and trustworthy content usage.

IEEE WIRELESS COMMUNICATIONS (2021)

Add to Collection

Article Computer Science, Information Systems

Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City

Xi Lin et al.

Summary: In a smart city, IoV can assist in achieving flexible computing resource demand response by sharing idle vehicle computing resources. To ensure transaction security and privacy in the system, a consortium blockchain approach is employed without involving a centralized trusted third-party. Additionally, a two-stage Stackelberg game is constructed to encourage individual smart vehicles to participate and optimize utilities of buyers and sellers.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2021)

Add to Collection

Article Computer Science, Hardware & Architecture

Application-Aware Consensus Management for Software-Defined Intelligent Blockchain in IoT

Jun Wu et al.

IEEE NETWORK (2020)

Add to Collection

Article Automation & Control Systems

Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud

Tian Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Add to Collection

Article Computer Science, Theory & Methods

Edge-based differential privacy computing for sensor-cloud systems

Tian Wang et al.

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach

Kelvin Anoh et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Add to Collection

Article Engineering, Electrical & Electronic

A Penalty Scheme for Mitigating Uninstructed Deviation of Generation Outputs From Variable Renewables in a Distribution Market

Jiajia Yang et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Add to Collection

Article Engineering, Multidisciplinary

An Intelligent Dynamic Offloading From Cloud to Edge for Smart IoT Systems With Big Data

Tian Wang et al.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

Blockchain and AI Empowered Trust-Information-Centric Network for Beyond 5G

Qianqian Pan et al.

IEEE NETWORK (2020)

Add to Collection

Article Engineering, Electrical & Electronic

A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router

Penghua Li et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Add to Collection

Article Computer Science, Information Systems

Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network

Xiaobo Tang et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Information Systems

FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

Jun Wu et al.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2019)

Add to Collection

Article Computer Science, Information Systems

An AC-DC Hybrid Multi-Port Energy Router With Coordinated Control and Energy Management Strategies

Bin Liu et al.

IEEE ACCESS (2019)

Add to Collection

Article Computer Science, Information Systems

Price-Sensitivity Aware Load Balancing for Geographically Distributed Internet Data Centers in Smart Grid Environment

Liang Yu et al.

IEEE TRANSACTIONS ON CLOUD COMPUTING (2018)

Add to Collection

Article Automation & Control Systems

Decentralized Cloud-SDN Architecture in Smart Grid: A Dynamic Pricing Model

Djabir Abdeldjalil Chekired et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Add to Collection

Article Automation & Control Systems

Joint Load Scheduling and Voltage Regulation in the Distribution System With Renewable Generators

Ju Ren et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Game-theoretic energy management with storage capacity optimization in the smart grids

Bingtuan Gao et al.

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2018)

Add to Collection

Article Computer Science, Information Systems

QoS-Predicted Energy Efficient Routing for Information-Centric Smart Grid: A Network Calculus Approach

Kuan Wang et al.

IEEE ACCESS (2018)

Add to Collection

Article Automation & Control Systems

A Graph Theory Based Energy Routing Algorithm in Energy Local Area Network

Ruichi Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Add to Collection

Article Engineering, Electrical & Electronic

A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach

Mengmeng Yu et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Add to Collection

Article Computer Science, Information Systems

Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption

Ruilong Deng et al.

IEEE INTERNET OF THINGS JOURNAL (2016)

Add to Collection

© Peeref 2019-2024. All rights reserved.