Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems. - Linfei Yin; Bin Zhang; Tao Yu 002; Lvpeng Chen; Baomin Zheng (IEEE Access, 2019)

Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems. - Linfei Yin; Tao Yu 002; Bo Yang 046; Xiaoshun Zhang (Neurocomputing, 2019)

Optimal power tracking of doubly fed induction generator-based wind turbine using swarm moth-flame optimizer. - L. N. Huang; Bo Yang 046; Xiaoshun Zhang; Linfei Yin; Tao Yu 002; Z. H. Fang (Trans. Inst. Meas. Control, 2019)

Application Conditions of Bounded Rationality and a Microgrid Energy Management Control Strategy Combining Real-Time Power Price and Demand-Side Response. - Nan Wu; Honglei Wang; Linfei Yin; Xufeng Yuan; Xiaoxia Leng (IEEE Access, 2020)

Equilibrium Stability of Asymmetric Evolutionary Games of Multi-Agent Systems With Multiple Groups in Open Electricity Market. - Linfei Yin; Shengyuan Li; Fang Gao 001 (IEEE Access, 2020)

Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems. - Linfei Yin; Shikui Luo; Yaoxiong Wang; Fang Gao 001; Jun Yu 001 (IEEE Access, 2020)

Deep Forest Regression for Short-Term Load Forecasting of Power Systems. - Linfei Yin; Zhixiang Sun; Fang Gao 001; Hui Liu 014 (IEEE Access, 2020)

A review of machine learning for new generation smart dispatch in power systems. - Linfei Yin; Qi Gao; Lulin Zhao; Bin Zhang; Tao Wang 009; Shengyuan Li; Hui Liu 014 (Eng. Appl. Artif. Intell., 2020)

Lazy reinforcement learning for real-time generation control of parallel cyber-physical-social energy systems. - Linfei Yin; Shengyuan Li; Hui Liu 014 (Eng. Appl. Artif. Intell., 2020)

General Three-Population Multi-Strategy Evolutionary Games for Long-Term On-Grid Bidding of Generation-Side Electricity Market. - Lefeng Cheng; Jie Zhang; Linfei Yin; Yang Chen; Jianhui Wang; Guiyun Liu; Xiaogang Wang 011; Dongxing Zhang (IEEE Access, 2021)

Deep Flexible Transmitter Networks for Non-Intrusive Load Monitoring of Power Distribution Networks. - Chenxiao Ma; Linfei Yin (IEEE Access, 2021)

Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems. - Linfei Yin; Chenwei Zhang; Yaoxiong Wang; Fang Gao 001; Jun Yu 001; Lefeng Cheng (IEEE Access, 2021)

Quantum parallel multi-layer Monte Carlo optimization algorithm for controller parameters optimization of doubly-fed induction generator-based wind turbines. - Kunlun Han; Tianwei Huang; Linfei Yin (Appl. Soft Comput., 2021)

Multi-objective proportional-integral-derivative optimization algorithm for parameters optimization of double-fed induction generator-based wind turbines. - Linfei Yin; Qi Gao (Appl. Soft Comput., 2021)

Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines. - Linfei Yin; Lichun Chen; Dongduan Liu; Xiao Huang; Fang Gao 001 (Eng. Appl. Artif. Intell., 2021)

Hybrid metaheuristic multi-layer reinforcement learning approach for two-level energy management strategy framework of multi-microgrid systems. - Linfei Yin; Shengyuan Li (Eng. Appl. Artif. Intell., 2021)

Deep Stackelberg heuristic dynamic programming for frequency regulation of interconnected power systems considering flexible energy sources. - Linfei Yin; Yunzhi Wu (Eng. Appl. Artif. Intell., 2021)

Proportional-integral-derivative optimization algorithm for double-fed induction generator with the maximum wind power tracking technique. - Linfei Yin; Qi Gao (Soft Comput., 2021)

Inspired lightweight robust quantum Q-learning for smart generation control of power systems. - Linfei Yin; Xinghui Cao (Appl. Soft Comput., 2022)

Deep learning-accelerated optimization algorithm for controller parameters optimization of doubly-fed induction generators. - Linfei Yin; Xinghui Cao; Senlin Wang (Appl. Soft Comput., 2022)

Fuzzy vector reinforcement learning algorithm for generation control of power systems considering flywheel energy storage. - Linfei Yin; Yu Li (Appl. Soft Comput., 2022)

Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems. - Linfei Yin; Zhixiang Sun (Appl. Soft Comput., 2022)

High-Dimensional Multiple Fractional-Order Optimizer for Rotor Side Converter of Doubly-Fed Induction Generators. - Xinghua Tao; Nan Mo; Jianbo Qin; Xiaozhe Yang; Linfei Yin; Likun Hu (IEEE Access, 2023)

Integrated adversarial long short-term memory deep networks for reheater tube temperature forecasting of ultra-supercritical turbo-generators. - Linfei Yin; Xiaoying Wei (Appl. Soft Comput., 2023)

Sine cosine-K-means hybrid algorithm for dynamic traction load classification of high-speed rail. - Linfei Yin; Lichun Chen; Zhipeng Su; Yu Li (J. Ambient Intell. Humaniz. Comput., 2023)

Transfer learning accelerating complex parameters optimizations based on quantum-inspired parallel multi-layer Monte Carlo algorithm: Theory, application, implementation. - Kunlun Han; Tianwei Huang; Linfei Yin (Appl. Soft Comput., 2023)

Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems. - Dan Liu; Yingzi Wu; Yiqun Kang; Linfei Yin; Xiaotong Ji; Xinghui Cao; Chuangzhi Li (Eng. Appl. Artif. Intell., 2023)

Quantum parallel model predictive control for grid-connected solid oxide fuel cells. - Linfei Yin; Dongduan Liu (Appl. Soft Comput., 2023)

Inception-embedded attention memory fully-connected network for short-term wind power prediction. - Linfei Yin; Mingshan Zhao (Appl. Soft Comput., 2023)

Remaining useful life prediction method combining the life variation laws of aero-turbofan engine and auto-expandable cascaded LSTM model. - Likun Hu; Xujie He; Linfei Yin (Appl. Soft Comput., 2023)

Multi-objective high-dimensional multi-fractional-order optimization algorithm for multi-objective high-dimensional multi-fractional-order optimization controller parameters of doubly-fed induction generator-based wind turbines. - Linfei Yin; Wenyu Ding (Eng. Appl. Artif. Intell., 2023)

Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage. - Linfei Yin; Nan Mo; Yuejiang Lu (Eng. Appl. Artif. Intell., 2023)

Graph attention-based U-net conditional generative adversarial networks for the identification of synchronous generation unit parameters. - Linfei Yin; Wanqiong Zhao (Eng. Appl. Artif. Intell., 2023)

Interpretable Incremental Voltage-Current Representation Attention Convolution Neural Network for Nonintrusive Load Monitoring. - Linfei Yin; Chenxiao Ma (IEEE Trans. Ind. Informatics, 2023)

Parallel GhostNet classification prediction method for supercapacitor remaining useful life prediction. - Quan Lu; Wenju Ju; Linfei Yin (Adv. Eng. Informatics, 2024)

Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids. - Linfei Yin; Nan Mo (Adv. Eng. Informatics, 2024)

Deep neural network accelerated-group African vulture optimization algorithm for unit commitment considering uncertain wind power. - Linfei Yin; Wenyu Ding (Appl. Soft Comput., 2024)

Fractional-order Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids. - Linfei Yin; Nan Mo (Appl. Soft Comput., 2024)

Lightweight adaptive Byzantine fault tolerant consensus algorithm for distributed energy trading. - Jin Ye 003; Huilin Hu; Jiahua Liang; Linfei Yin; Jiawen Kang 001 (Comput. Networks, 2024)

Fuzzy soft deep deterministic policy gradient for distribution-static synchronous compensation of distribution networks. - Linjie Huang; Linfei Yin (Eng. Appl. Artif. Intell., 2024)

Quantum-inspired distributed policy-value optimization learning with advanced environmental forecasting for real-time generation control in novel power systems. - Linfei Yin; Xinghui Cao (Eng. Appl. Artif. Intell., 2024)

Bi-level binary coded fully connected classifier based on residual network 50 with bottom and deep level features for bearing fault diagnosis. - Linfei Yin; Zixuan Wang (Eng. Appl. Artif. Intell., 2024)

Parallel quantized dual-level fully connected classifier for bearing fault diagnosis. - Linfei Yin; Zixuan Wang (Eng. Appl. Artif. Intell., 2024)

Long-term deep reinforcement learning for real-time economic generation control of cloud energy storage systems with varying structures. - Linfei Yin; Yi Xiong (Eng. Appl. Artif. Intell., 2024)

3D attention-focused pure convolutional target detection algorithm for insulator defect detection. - Quan Lu; Kehong Lin; Linfei Yin (Expert Syst. Appl., 2024)

Multi-path parallel enhancement of low-light images based on multiscale spatially aware Retinex decomposition. - Quan Lu; Chengwei Li; Linfei Yin (Expert Syst. Appl., 2024)

A hybrid 3DSE-CNN-2DLSTM model for compound fault detection of wind turbines. - Tian Wang; Linfei Yin (Expert Syst. Appl., 2024)

Parallel Multiple CNNs With Temporal Predictions for Wind Turbine Blade Cracking Early Fault Detection. - Quan Lu; Wanxing Ye; Linfei Yin (IEEE Trans. Instrum. Meas., 2024)

DResInceptionNasNet method for offline grounding detection of distribution networks. - Linfei Yin; Jiahao Huang (Appl. Soft Comput., 2024)

MAPPO-ITD3-IMLFQ algorithm for multi-mobile robot path planning. - Likun Hu; Chunyou Wei; Linfei Yin (Adv. Eng. Informatics, 2025)

Relative position contrast learning updated temporal convolutional network encoder multivariate time series large language model for the fault detection of wind turbines. - Tian Wang; Linfei Yin (Adv. Eng. Informatics, 2025)

Deep convolutional generative adversarial network accelerated optimization algorithm for parameter optimization of permanent magnet synchronous generator controllers. - Linfei Yin; Haomiao Li; Yongzi Ye; Fang Gao (Appl. Soft Comput., 2025)

Fuzzy A∗ quantum multi-stage Q-learning artificial potential field for path planning of mobile robots. - Likun Hu; Chunyou Wei; Linfei Yin (Eng. Appl. Artif. Intell., 2025)

Artificial emotion-assisted data and modeling dual-drive methods for voltage control in renewable energy enriched grids. - Linfei Yin; Hongzhen Wu (Eng. Appl. Artif. Intell., 2025)

Large model-embedded deep reinforcement learning for stability control of multiband power system stabilizer with high penetration distributed energy sources. - Linfei Yin; Yiran Zhao (Eng. Appl. Artif. Intell., 2025)

Dual deep neural networks-accelerated non-dominated sorting moth flame optimizer for distributed multi-objective economic dispatch. - Linfei Yin; Wenyu Ding (Expert Syst. Appl., 2025)

Attention-embedded lightweight convolutional neural network for real-time diagnosis of abnormal electricity consumption behaviors. - Linfei Yin; Xiaoyu He (Expert Syst. Appl., 2025)

Graph comparison efficient conditional generative adversarial networks for parameter identification of synchronous generators. - Linfei Yin; Zixuan Wang (Expert Syst. Appl., 2025)

Hybrid modeling with data enhanced driven learning algorithm for smart generation control in multi-area integrated energy systems with high proportion renewable energy. - Linfei Yin; Da Zheng (Expert Syst. Appl., 2025)

Infrared and visible image fusion via dual encoder based on dense connection. - Quan Lu; Hongbin Zhang; Linfei Yin (Pattern Recognit., 2025)

Fully-connected layers-embedded self-attention optimizer based on quantum-inspired and fuzzy logic for smart household energy management. - Lulin Zhao; Linfei Yin (Sustain. Comput. Informatics Syst., 2025)

Quantum Parallel Transformer Model for Detecting Multiclass Insulator Faults. - Yijin Lin; Linfei Yin (IEEE Trans. Instrum. Meas., 2025)