Junwei Cao
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View article: Detection of Surface Defects in Steel Based on Dual-Backbone Networks-MBDNet-Attention-YOLO
Detection of Surface Defects in Steel Based on Dual-Backbone Networks-MBDNet-Attention-YOLO Open
Steel surface defect detection plays a crucial role in industrial quality inspection. However, automated recognition remains challenging due to the complexity and diversity of defect types, such as cracks, pores, scratches, and dents. Trad…
View article: Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling Under Data Governance
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling Under Data Governance Open
As a data-driven approach, multi-agent reinforcement learning (MARL) has made remarkable advances in solving cooperative residential load scheduling problems. However, centralized training, the most common paradigm for MARL, limits large-s…
View article: A near complete genome assembly of the East Friesian sheep genome
A near complete genome assembly of the East Friesian sheep genome Open
View article: Deep and Reinforcement Learning in Virtual Synchronous Generator: A Comprehensive Review
Deep and Reinforcement Learning in Virtual Synchronous Generator: A Comprehensive Review Open
The virtual synchronous generator (VSG) is an important concept and primary control method in modern power systems. The penetration of power-electronics-based distributed generators in the power grid provides uncertainty and reduces the in…
View article: Human-Cyber-Physical Systems for Energy Internet—A Review
Human-Cyber-Physical Systems for Energy Internet—A Review Open
As the research of HCPS in EI is ongoing, an increasing number of problems should be addressed, such as the leading role or aid function definition of humans, the coordination of humans with cyber and physical equipment, the state awarenes…
View article: A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences
A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences Open
The architecture of cloud–edge collaboration can improve the efficiency of Internet of Things (IoT) systems. Recent studies have pointed out that using IoT terminal devices as destinations for computing offloading can promote further optim…
View article: Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries
Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries Open
The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles. The Kalman filter (KF) or extended KF (EKF) is normally empl…
View article: Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling Under Data Governance
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling Under Data Governance Open
View article: Edge Computing with Artificial Intelligence: A Machine Learning Perspective
Edge Computing with Artificial Intelligence: A Machine Learning Perspective Open
Recent years have witnessed the widespread popularity of Internet of things (IoT). By providing sufficient data for model training and inference, IoT has promoted the development of artificial intelligence (AI) to a great extent. Under thi…
View article: Financial Technology to Help Small and Medium-sized Enterprises Financing Path and Countermeasures
Financial Technology to Help Small and Medium-sized Enterprises Financing Path and Countermeasures Open
In recent years, with the development of China's overall economy, small and medium-sized enterprises have gradually become the emerging backbone to solve the problem of resident employment, active financial market, innovative product upgra…
View article: Joint Optimization of Energy Storage Sharing and Demand Response in Microgrid Considering Multiple Uncertainties
Joint Optimization of Energy Storage Sharing and Demand Response in Microgrid Considering Multiple Uncertainties Open
Energy storage (ES) is playing an increasingly important role in reducing the spatial and temporal power imbalance of supply and demand caused by the uncertainty and periodicity of renewable energy in the microgrid. The utilization efficie…
View article: Supply Chain Perspective Oriented Business Mode of Renewable Energy Cloud and Its Data Factors Application
Supply Chain Perspective Oriented Business Mode of Renewable Energy Cloud and Its Data Factors Application Open
In the future, renewable energy source (RES) plays a main role in energy supply and demand system, which has become the consensus.The Energy Internet (EI) with deep integration of information is an important way to realize the transformati…
View article: Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid
Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid Open
As a scalable data-driven approach, multi-agent reinforcement learning (MARL) has made remarkable advances in solving the cooperative residential load scheduling problems. However, the common centralized training strategy of MARL algorithm…
View article: Data-Driven Dynamical Control for Bottom-up Energy Internet System
Data-Driven Dynamical Control for Bottom-up Energy Internet System Open
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View article: Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management?
Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management? Open
As a model-free optimization and decision-making method, deep reinforcement learning (DRL) has been widely applied to the filed of energy management in energy Internet. While, some DRL-based energy management schemes also incorporate the p…
View article: Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning
Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning Open
As a model-free optimization and decision-making method, deep reinforcement learning (DRL) has been widely applied to the filed of energy management in energy Internet. While, some DRL-based energy management schemes also incorporate the p…
View article: Improved approximate minimum degree ordering method and its application for electrical power network analysis and computation
Improved approximate minimum degree ordering method and its application for electrical power network analysis and computation Open
Electrical power network analysis and computation play an important role in the planning and operation of the power grid, and they are modeled mathematically as differential equations and network algebraic equations. The direct method base…
View article: Energy sharing and frequency regulation in energy Internet via mixed H2/H∞ control with Markovian jump
Energy sharing and frequency regulation in energy Internet via mixed H2/H∞ control with Markovian jump Open
In this paper, the problem of mixed optimization for energy sharing and frequency regulation in a typical energy network scenario where energy routers (ERs) interconnected AC microgrids (MGs) is investigated. Continuous-time Markov chains …
View article: Robust Control Method for DC Microgrids and Energy Routers to Improve Voltage Stability in Energy Internet
Robust Control Method for DC Microgrids and Energy Routers to Improve Voltage Stability in Energy Internet Open
The energy internet (EI) is a wide area power network that efficiently combines new energy technology and information technology, resulting in bidirectional on-demand power transmission and rational utilization of distributed energy resour…
View article: Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement Learning Approach
Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement Learning Approach Open
The existence of high proportional distributed energy resources in energy Internet (EI) scenarios has a strong impact on the power supply-demand balance of the EI system. Decision-making optimization research that focuses on the transient …
View article: Robust Mixed H 2 / H ∞ Controller Design for Energy Routers in Energy Internet
Robust Mixed H 2 / H ∞ Controller Design for Energy Routers in Energy Internet Open
In this paper, a class of mixed H 2 / H ∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro…
View article: Performance modelling for data monitoring services in smart grid: A network calculus-based approach
Performance modelling for data monitoring services in smart grid: A network calculus-based approach Open
This paper focuses on solving the modeling issues of monitoring system service performance based on the network calculus theory. First, we formulate the service model of the smart grid monitoring system. Then, we derive the flow arrival cu…
View article: Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems
Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems Open
With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it…
View article: A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization
A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization Open
Aiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the exis…
View article: Distributed energy sharing in energy internet through distributed averaging
Distributed energy sharing in energy internet through distributed averaging Open
This paper proposes a distributed averaging iteration algorithm for energy sharing in microgrids of Energy Internet based on common gossip algorithms. This algorithm is completely distributed and only requires communications between neighb…
View article: On the mathematical nature ofwireless broadcast trees
On the mathematical nature ofwireless broadcast trees Open
Trees are arguably one of the most important data structures widely used in information theory and computing science. Different numbers of intermediate nodes in wireless broadcast trees may exert great impacts on the energy consumption of …
View article: COMBAT: a new bitmap index coding algorithm for big data
COMBAT: a new bitmap index coding algorithm for big data Open
Bitmap indexing has been widely used in various applications due to its speed in bitwise operations. However, it can consume large amounts of memory. To solve this problem, various bitmap coding algorithms have been proposed. In this paper…
View article: Voltage Sag Diagnosis Using Big Data Analysis
Voltage Sag Diagnosis Using Big Data Analysis Open
We proposes a data-driven approach for voltage sag diagnosis in this paper.Rather than traditional features such as frequency, amplitude and duration, we apply temporal distribution as a new feature to distinguish whether the sag is caused…
View article: Call for papers - Special issue on energy internet the
Call for papers - Special issue on energy internet the Open
research that addresses the challenges in the broad areas of Energy Internet.
View article: Erratum to: On Controllability Problems of High-Order Dynamical Multi-Agent Systems
Erratum to: On Controllability Problems of High-Order Dynamical Multi-Agent Systems Open