Mathematical optimization, Distributed computing, Nonlinear system, Cryptography and Algorithm are his primary areas of study. His Mathematical optimization research includes themes of Hopfield network and Smart grid. His studies deal with areas such as Hybrid approach, Network topology, Multi-agent system and Rate of convergence as well as Distributed computing.
Algorithm design is closely connected to Telecommunications network in his research, which is encompassed under the umbrella topic of Network topology. His research in Nonlinear system intersects with topics in Independence, Chaotic, Numerical analysis and Distribution. His Cryptography research is multidisciplinary, relying on both Adaptive simulated annealing, Simulated annealing and Heuristic.
The scientist’s investigation covers issues in Mathematical optimization, Smart grid, Distributed computing, Electric power system and Algorithm. His Mathematical optimization research incorporates elements of Distributed algorithm, Convergence, AC power and Convex optimization. The concepts of his Distributed computing study are interwoven with issues in Telecommunications network, Network topology, Multi-agent system and Cascading failure.
His biological study spans a wide range of topics, including Convolutional neural network and Nonlinear system. His Cryptography study combines topics in areas such as Independence and Numerical analysis. His work carried out in the field of Numerical analysis brings together such families of science as Chaotic and Distribution.
His main research concerns Mathematical optimization, Smart grid, Algorithm, Distributed algorithm and Convex optimization. He combines subjects such as Electric vehicle, Convergence and Location model with his study of Mathematical optimization. Guo Chen works mostly in the field of Smart grid, limiting it down to topics relating to Injection attacks and, in certain cases, Malware, as a part of the same area of interest.
Guo Chen has included themes like Network architecture, Feature extraction and Solver in his Algorithm study. His Distributed algorithm study combines topics from a wide range of disciplines, such as Algorithm design, Bounded function, Uniform boundedness, Scheduling and Economic dispatch. The study incorporates disciplines such as Convex function and Asynchronous communication in addition to Convex optimization.
Guo Chen mostly deals with Algorithm, Smart grid, Mathematical optimization, Injection attacks and Malware. Particularly relevant to Algorithm design is his body of work in Algorithm. His study connects Economic dispatch and Smart grid.
His Mathematical optimization research includes elements of Electricity generation, Price signal and Renewable energy.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Efficient Computation for Sparse Load Shifting in Demand Side Management
Chaojie Li;Xinghuo Yu;Wenwu Yu;Guo Chen.
IEEE Transactions on Smart Grid (2017)
An extended method for obtaining S-boxes based on three-dimensional chaotic Baker maps
Guo Chen;Guo Chen;Yong Chen;Xiaofeng Liao.
Chaos Solitons & Fractals (2007)
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids
Ahmed S. Musleh;Guo Chen;Zhao Yang Dong.
IEEE Transactions on Smart Grid (2020)
Attack structural vulnerability of power grids: A hybrid approach based on complex networks
Guo Chen;Zhao Yang Dong;David J. Hill;Guo Hua Zhang.
Physica A-statistical Mechanics and Its Applications (2010)
Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks
Huaqing Li;Xiaofeng Liao;Guo Chen;David J. Hill.
Neural Networks (2015)
Event-Triggered Distributed Average Consensus Over Directed Digital Networks With Limited Communication Bandwidth
Huaqing Li;Guo Chen;Tingwen Huang;Zhaoyang Dong.
IEEE Transactions on Systems, Man, and Cybernetics (2016)
High-Performance Consensus Control in Networked Systems With Limited Bandwidth Communication and Time-Varying Directed Topologies
Huaqing Li;Guo Chen;Tingwen Huang;Zhaoyang Dong.
IEEE Transactions on Neural Networks (2017)
An improved model for structural vulnerability analysis of power networks
Guo Chen;Guo Chen;Zhao Yang Dong;David J. Hill;Guo Hua Zhang.
Physica A-statistical Mechanics and Its Applications (2009)
Exploring Reliable Strategies for Defending Power Systems Against Targeted Attacks
Guo Chen;Zhao Yang Dong;D. J. Hill;Yu Sheng Xue.
IEEE Transactions on Power Systems (2011)
A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach
Chaojie Li;Xinghuo Yu;Tingwen Huang;Guo Chen.
IEEE Transactions on Neural Networks (2016)
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