Peng Li
Orcid: 0000-0002-9428-6374Affiliations:
- Beijing Jiaotong University, School of Electronic and Information Engineering, China
According to our database1,
Peng Li
authored at least 24 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Vibration-Based Fault Diagnosis for Railway Point Machines Using Multi-Domain Features, Ensemble Feature Selection and SVM.
IEEE Trans. Veh. Technol., January, 2024
A Fully Distributed Privacy-Preserving Energy Management System for Networked Microgrid Cluster Based on Homomorphic Encryption.
IEEE Trans. Smart Grid, 2024
Sound Based Degradation Status Recognition for Railway Point Machines Based on Soft-Threshold Wavelet Denoising, WPD, and ReliefF.
IEEE Trans. Instrum. Meas., 2024
2023
A Multistage Decision Optimization Approach for Train Timetable Rescheduling Under Uncertain Disruptions in a High-Speed Railway Network.
IEEE Trans. Intell. Transp. Syst., June, 2023
Data-Driven Risk-Adjusted Robust Energy Management for Microgrids Integrating Demand Response Aggregator and Renewable Energies.
IEEE Trans. Smart Grid, 2023
Distributionally Robust Kalman Filtering for INS/GPS Tightly Coupled Integration With Model Uncertainty and Measurement Outlier.
IEEE Trans. Instrum. Meas., 2023
Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine.
IEEE Intell. Transp. Syst. Mag., 2023
2022
Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy.
IEEE Trans. Veh. Technol., 2022
A Sound-Based Fault Diagnosis Method for Railway Point Machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier.
IEEE Trans. Intell. Transp. Syst., 2022
Dispatching strategy for the multi-energy microgrid with source and load uncertainties.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Two-Time-Scale Energy Management for Microgrids With Data-Based Day-Ahead Distributionally Robust Chance-Constrained Scheduling.
IEEE Trans. Smart Grid, 2021
2020
Two-Hierarchy Communication/Computation Hybrid Optimization Protocol for Railway Wireless Monitoring Systems.
IEEE Trans. Ind. Informatics, 2020
2019
Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains.
IEEE Trans. Veh. Technol., 2019
Adaptive Optimization of Multi-Hop Communication Protocol for Linear Wireless Monitoring Networks on High-Speed Railways.
IEEE Trans. Intell. Transp. Syst., 2019
Neural Adaptive Fault Tolerant Control for High Speed Trains Considering Actuation Notches and Antiskid Constraints.
IEEE Trans. Intell. Transp. Syst., 2019
A Hybrid Method for Life Prediction of Railway Relays Based on Multi-Layer Decomposition and RBFNN.
IEEE Access, 2019
2018
Multiobjective Sizing Optimization for Island Microgrids Using a Triangular Aggregation Model and the Levy-Harmony Algorithm.
IEEE Trans. Ind. Informatics, 2018
Adaptive Fault-Tolerant Control of Wind Turbines With Guaranteed Transient Performance Considering Active Power Control of Wind Farms.
IEEE Trans. Ind. Electron., 2018
A Multi-Service Train-to-Ground Bandwidth Allocation Strategy Based on Game Theory and Particle Swarm Optimization.
IEEE Intell. Transp. Syst. Mag., 2018
Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing.
Future Gener. Comput. Syst., 2018
2017
Storage Aided System Property Enhancing and Hybrid Robust Smoothing for Large-Scale PV Systems.
IEEE Trans. Smart Grid, 2017
Tracking control of nonaffine systems using bio-inspired networks with auto-tuning activation functions and self-growing neurons.
Inf. Sci., 2017
2016
IEEE Trans. Ind. Electron., 2016
2015
Data-Based Statistical Property Analyzing and Storage Sizing for Hybrid Renewable Energy Systems.
IEEE Trans. Ind. Electron., 2015