Morteza Dabbaghjamanesh

Orcid: 0000-0003-3532-5318

According to our database1, Morteza Dabbaghjamanesh authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles' TPMS.
IEEE Trans. Ind. Informatics, January, 2024

2023
IoT-Enabled Operation of Multi Energy Hubs Considering Electric Vehicles and Demand Response.
IEEE Trans. Intell. Transp. Syst., February, 2023

A Cyber-Physical Architecture for Microgrids based on Deep learning and LORA Technology.
CoRR, 2023

2022
Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture.
IEEE Trans. Ind. Informatics, 2022

Guest Editorial: Advanced Energy Internet Applications in Industrial Power and Energy Systems.
IEEE Trans. Ind. Informatics, 2022

DAG-Based Smart Contract for Dynamic 6G Wireless EVs Charging System.
IEEE Trans. Green Commun. Netw., 2022

Distributed Two-Level Energy Scheduling of Networked Regional Integrated Energy Systems.
IEEE Syst. J., 2022

AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting.
CoRR, 2022

A Survey on Deep Learning Role in Distribution Automation System: A New Collaborative Learning-to-Learning (L2L) Concept.
IEEE Access, 2022

2021
Deep Learning-Based Real-Time Switching of Hybrid AC/DC Transmission Networks.
IEEE Trans. Smart Grid, 2021

An Evolutionary Deep Learning-Based Anomaly Detection Model for Securing Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting.
IEEE Trans. Intell. Transp. Syst., 2021

Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach.
IEEE Trans. Ind. Informatics, 2021

Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique.
IEEE Trans. Ind. Informatics, 2021

Guest Editorial: Special Section on Applications of Artificial Intelligence in Industrial Power Electronics and Systems.
IEEE Trans. Ind. Informatics, 2021

Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price.
IEEE Trans. Control. Netw. Syst., 2021

Fault Current Limiter Dynamic Voltage Restorer (FCL-DVR) with Reduced Number of Components.
CoRR, 2021

IoT-based data-driven fault allocation in microgrids using advanced <i>µ</i>PMUs.
Ad Hoc Networks, 2021

2020
Sensitivity Analysis of Renewable Energy Integration on Stochastic Energy Management of Automated Reconfigurable Hybrid AC-DC Microgrid Considering DLR Security Constraint.
IEEE Trans. Ind. Informatics, 2020

Real-time monitoring and operation of microgrid using distributed cloud-fog architecture.
J. Parallel Distributed Comput., 2020

Deep Learning-based Real-time Switching of Reconfigurable Microgrids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Effective Scheduling of Reconfigurable Microgrids With Dynamic Thermal Line Rating.
IEEE Trans. Ind. Electron., 2019

Superconducting Fault Current Limiter Allocation in Reconfigurable Smart Grids.
CoRR, 2019

2018
A New Efficient Fuel Optimization in Blended Charge Depletion/Charge Sustenance Control Strategy for Plug-In Hybrid Electric Vehicles.
IEEE Trans. Intell. Veh., 2018

2017
Effective scheduling operation of coordinated and uncoordinated wind-hydro and pumped-storage in generation units with modified JAYA algorithm.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

2016
Design of networked polynomial control systems with random delays: sum of squares approach.
Int. J. Autom. Control., 2016


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