Linfei Yin
Orcid: 0000-0001-8343-3669
According to our database1,
Linfei Yin
authored at least 51 papers
between 2019 and 2025.
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Bibliography
2025
Hybrid modeling with data enhanced driven learning algorithm for smart generation control in multi-area integrated energy systems with high proportion renewable energy.
Expert Syst. Appl., 2025
Dual deep neural networks-accelerated non-dominated sorting moth flame optimizer for distributed multi-objective economic dispatch.
Expert Syst. Appl., 2025
2024
Appl. Soft Comput., December, 2024
Parallel Multiple CNNs With Temporal Predictions for Wind Turbine Blade Cracking Early Fault Detection.
IEEE Trans. Instrum. Meas., 2024
Expert Syst. Appl., 2024
Multi-path parallel enhancement of low-light images based on multiscale spatially aware Retinex decomposition.
Expert Syst. Appl., 2024
3D attention-focused pure convolutional target detection algorithm for insulator defect detection.
Expert Syst. Appl., 2024
Long-term deep reinforcement learning for real-time economic generation control of cloud energy storage systems with varying structures.
Eng. Appl. Artif. Intell., 2024
Parallel quantized dual-level fully connected classifier for bearing fault diagnosis.
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.
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.
Eng. Appl. Artif. Intell., 2024
Fuzzy soft deep deterministic policy gradient for distribution-static synchronous compensation of distribution networks.
Eng. Appl. Artif. Intell., 2024
Lightweight adaptive Byzantine fault tolerant consensus algorithm for distributed energy trading.
Comput. Networks, 2024
Fractional-order Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids.
Appl. Soft Comput., 2024
Deep neural network accelerated-group African vulture optimization algorithm for unit commitment considering uncertain wind power.
Appl. Soft Comput., 2024
Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids.
Adv. Eng. Informatics, 2024
Parallel GhostNet classification prediction method for supercapacitor remaining useful life prediction.
Adv. Eng. Informatics, 2024
2023
Interpretable Incremental Voltage-Current Representation Attention Convolution Neural Network for Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics, December, 2023
Graph attention-based U-net conditional generative adversarial networks for the identification of synchronous generation unit parameters.
Eng. Appl. Artif. Intell., November, 2023
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage.
Eng. Appl. Artif. Intell., November, 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.
Eng. Appl. Artif. Intell., November, 2023
Remaining useful life prediction method combining the life variation laws of aero-turbofan engine and auto-expandable cascaded LSTM model.
Appl. Soft Comput., November, 2023
Inception-embedded attention memory fully-connected network for short-term wind power prediction.
Appl. Soft Comput., July, 2023
Appl. Soft Comput., April, 2023
Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems.
Eng. Appl. Artif. Intell., March, 2023
Transfer learning accelerating complex parameters optimizations based on quantum-inspired parallel multi-layer Monte Carlo algorithm: Theory, application, implementation.
Appl. Soft Comput., February, 2023
Sine cosine-K-means hybrid algorithm for dynamic traction load classification of high-speed rail.
J. Ambient Intell. Humaniz. Comput., 2023
Integrated adversarial long short-term memory deep networks for reheater tube temperature forecasting of ultra-supercritical turbo-generators.
Appl. Soft Comput., 2023
High-Dimensional Multiple Fractional-Order Optimizer for Rotor Side Converter of Doubly-Fed Induction Generators.
IEEE Access, 2023
2022
Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems.
Appl. Soft Comput., 2022
Fuzzy vector reinforcement learning algorithm for generation control of power systems considering flywheel energy storage.
Appl. Soft Comput., 2022
Deep learning-accelerated optimization algorithm for controller parameters optimization of doubly-fed induction generators.
Appl. Soft Comput., 2022
Inspired lightweight robust quantum Q-learning for smart generation control of power systems.
Appl. Soft Comput., 2022
2021
Proportional-integral-derivative optimization algorithm for double-fed induction generator with the maximum wind power tracking technique.
Soft Comput., 2021
Deep Stackelberg heuristic dynamic programming for frequency regulation of interconnected power systems considering flexible energy sources.
Eng. Appl. Artif. Intell., 2021
Hybrid metaheuristic multi-layer reinforcement learning approach for two-level energy management strategy framework of multi-microgrid systems.
Eng. Appl. Artif. Intell., 2021
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines.
Eng. Appl. Artif. Intell., 2021
Multi-objective proportional-integral-derivative optimization algorithm for parameters optimization of double-fed induction generator-based wind turbines.
Appl. Soft Comput., 2021
Quantum parallel multi-layer Monte Carlo optimization algorithm for controller parameters optimization of doubly-fed induction generator-based wind turbines.
Appl. Soft Comput., 2021
Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems.
IEEE Access, 2021
Deep Flexible Transmitter Networks for Non-Intrusive Load Monitoring of Power Distribution Networks.
IEEE Access, 2021
General Three-Population Multi-Strategy Evolutionary Games for Long-Term On-Grid Bidding of Generation-Side Electricity Market.
IEEE Access, 2021
2020
Lazy reinforcement learning for real-time generation control of parallel cyber-physical-social energy systems.
Eng. Appl. Artif. Intell., 2020
Eng. Appl. Artif. Intell., 2020
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.
IEEE Access, 2020
Equilibrium Stability of Asymmetric Evolutionary Games of Multi-Agent Systems With Multiple Groups in Open Electricity Market.
IEEE Access, 2020
Application Conditions of Bounded Rationality and a Microgrid Energy Management Control Strategy Combining Real-Time Power Price and Demand-Side Response.
IEEE Access, 2020
2019
Optimal power tracking of doubly fed induction generator-based wind turbine using swarm moth-flame optimizer.
Trans. Inst. Meas. Control, 2019
Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems.
Neurocomputing, 2019
Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems.
IEEE Access, 2019