Feifan Shen
Orcid: 0000-0002-6413-3166
According to our database1,
Feifan Shen
authored at least 28 papers
between 2014 and 2025.
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Bibliography
2025
Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes.
IEEE Trans. Ind. Informatics, August, 2025
Dynamically Maximizing Power Production of Wind Farm Through Accelerated Distributed Control.
IEEE Trans. Ind. Informatics, August, 2025
Non-Iterative Sensitivity-Based Switch Exchange Method for Distribution Network Reconfiguration.
IEEE Trans. Smart Grid, July, 2025
LightM-ConvKNet: An Efficient Deep Learning Framework for Multisensor Industrial Fault Diagnosis Under Cross-Operating Conditions.
IEEE Trans. Instrum. Meas., 2025
Semantic segmentation model based on edge information for rock structural surface traces detection.
Eng. Appl. Artif. Intell., 2025
A knowledge-refined hybrid graph model for quality prediction of industrial processes.
Eng. Appl. Artif. Intell., 2025
Comput. Chem. Eng., 2025
2024
Transactive Energy-Based Sequential Load Restoration of Distribution Systems With Networked Microgrids Under Uncertainty.
IEEE Trans. Smart Grid, May, 2024
Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network.
IEEE Trans. Cybern., May, 2024
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.
IEEE Trans. Ind. Informatics, April, 2024
Equivalent Three-Vector-Based Model Predictive Control With Duty-Cycle Reconstruction for PMSM.
IEEE Trans. Ind. Electron., March, 2024
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas., 2024
Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data.
IEEE Trans. Instrum. Meas., 2024
Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development.
IEEE Access, 2024
2023
Intell. Autom. Soft Comput., 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
2021
Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes.
IEEE Access, 2021
2020
Distributed Risk-Limiting Load Restoration in Unbalanced Distribution Systems With Networked Microgrids.
IEEE Trans. Smart Grid, 2020
Online local modeling and prediction of batch process trajectories using just-in-time learning and LSTM neural network.
J. Comput. Methods Sci. Eng., 2020
LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning.
IEEE Access, 2020
2019
Comprehensive Congestion Management for Distribution Networks Based on Dynamic Tariff, Reconfiguration, and Re-Profiling Product.
IEEE Trans. Smart Grid, 2019
A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value Functions.
CoRR, 2019
Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power.
Complex., 2019
Distributed Service Restoration of Active Electrical Distribution Systems using ADMM.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Multiphase and Multimode Monitoring of Batch Processes Based on Density Peak Clustering and Just-in-time Learning.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018
2014
Proceedings of the American Control Conference, 2014