Search Results - "Li, Chaojie"
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Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch
Published in IEEE transaction on neural networks and learning systems (01-06-2018)“…The resource allocation problem is studied and reformulated by a distributed interior point method via a <inline-formula> <tex-math notation="LaTeX">\theta…”
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Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers
Published in IEEE transactions on power systems (01-09-2017)“…According to the feed-in tariff for encouraging local consumption of photovoltaic (PV) energy, the energy sharing among neighboring PV prosumers in the…”
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3
Efficient Computation for Sparse Load Shifting in Demand Side Management
Published in IEEE transactions on smart grid (01-01-2017)“…This paper introduces a distributed algorithm for sparse load shifting in demand-side management with a focus on the scheduling problem of residential smart…”
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Distributed Event-Triggered Scheme for Economic Dispatch in Smart Grids
Published in IEEE transactions on industrial informatics (01-10-2016)“…To reduce information exchange requirements in smart grids, an event-triggered communication-based distributed optimization is proposed for economic dispatch…”
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Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach
Published in Neural networks (01-06-2014)“…In this paper, a novel impulsive control law is proposed for synchronization of stochastic discrete complex networks with time delays and switching topologies,…”
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6
Risk-Averse Energy Trading in Multienergy Microgrids: A Two-Stage Stochastic Game Approach
Published in IEEE transactions on industrial informatics (01-10-2017)“…Multienergy microgrids are a promising solution to improve overall energy (electricity, cooling, heating, etc.) efficiency. In this paper, a new optimal energy…”
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A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach
Published in IEEE transaction on neural networks and learning systems (01-02-2016)“…This paper proposes a generalized Hopfield network for solving general constrained convex optimization problems. First, the existence and the uniqueness of…”
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Design of Quasi‐MOF Nanospheres as a Dynamic Electrocatalyst toward Accelerated Sulfur Reduction Reaction for High‐Performance Lithium–Sulfur Batteries
Published in Advanced materials (Weinheim) (01-01-2022)“…Lithium–sulfur (Li–S) batteries are considered as one of the most promising next‐generation rechargeable batteries owing to their high energy density and…”
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Parallel and Distributed Computation for Dynamical Economic Dispatch
Published in IEEE transactions on smart grid (01-03-2017)“…This letter introduces a parallel and distributed computation method for dynamical economic dispatch over a cyber-physical system. To achieve a faster economic…”
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Data-Driven Charging Strategy of PEVs Under Transformer Aging Risk
Published in IEEE transactions on control systems technology (01-07-2018)“…Big data analytics and plug-in electric vehicle (PEV) are the important elements of smart grids in the future. This paper introduces a data-driven charging…”
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11
Phosphoserine Aminotransferase 1: A Metabolic Enzyme Target of Cancers
Published in Current cancer drug targets (01-01-2023)“…Phosphoserine aminotransferase 1 (PSAT1) catalyzes 3-phosphohydroxylpyruvate and glutamate into 3-phosphoserine and α-ketoglutamate. It integrates metabolic…”
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12
An Inertial Projection Neural Network for Solving Variational Inequalities
Published in IEEE transactions on cybernetics (01-03-2017)“…Recently, projection neural network (PNN) was proposed for solving monotone variational inequalities (VIs) and related convex optimization problems. In this…”
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13
Review on Interpretable Machine Learning in Smart Grid
Published in Energies (Basel) (01-06-2022)“…In recent years, machine learning, especially deep learning, has developed rapidly and has shown remarkable performance in many tasks of the smart grid field…”
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14
A Recurrent Neural Network for Solving Bilevel Linear Programming Problem
Published in IEEE transaction on neural networks and learning systems (01-04-2014)“…In this brief, based on the method of penalty functions, a recurrent neural network (NN) modeled by means of a differential inclusion is proposed for solving…”
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Analysis and design of synchronous‐rectified LLC DC–DC converter for LDC of electric vehicles
Published in IET power electronics (01-08-2024)“…In electric vehicles (EVs), the low voltage dc‐dc converter (LDC) with synchronous rectifier switches (SRs) can be used to reduce conduction loss caused by the…”
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16
Cooperative Distributed Optimization in Multiagent Networks With Delays
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-02-2015)“…In this technical correspondence, we consider a distributed cooperative optimization problem encountered in a computational multiagent network with delay,…”
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17
Pulse-Modulated Intermittent Control in Consensus of Multiagent Systems
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-05-2017)“…This paper proposes a control framework, called pulse-modulated intermittent control, which unifies impulsive control and sampled control. Specifically, the…”
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18
Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small Sample Condition
Published in Remote sensing (Basel, Switzerland) (01-08-2022)“…The widely distributed “Step-type” landslides in the Three Gorges Reservoir (TGR) area have caused serious casualties and heavy economic losses. The prediction…”
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Waterborne Virus Transport and Risk Assessment in Lake Geneva Under Climate Change
Published in Earth's future (01-01-2024)“…Climate changes influence lake hydrodynamics and radiation levels and thus may affect the fate and transport of waterborne pathogens in lakes. This study…”
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Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-09-2018)“…This paper proposes two second-order continuous-time algorithms to solve the economic power dispatch problem in smart grids. The collective aim is to minimize…”
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