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
Design of enhanced two-dimensional self-optimizing control system for batch process.
Comput. Chem. Eng., 2025
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
Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes.
IEEE Access, 2021
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
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
Review of Service Restoration Methods in Distribution Networks.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018
JITL based local monitoring method for transitions of multiphase batch processes.
Proceedings of the American Control Conference, 2014