Abdollah Kavousi-Fard
Orcid: 0000-0001-8316-5588
According to our database1,
Abdollah Kavousi-Fard
authored at least 74 papers
between 2011 and 2024.
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Bibliography
2024
A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles' TPMS.
IEEE Trans. Ind. Informatics, January, 2024
AI-enhanced multi-stage learning-to-learning approach for secure smart cities load management in IoT networks.
Ad Hoc Networks, 2024
2023
Reinforcing Data Integrity in Renewable Hybrid AC-DC Microgrids from Social-Economic Perspectives.
ACM Trans. Sens. Networks, May, 2023
IoT-Enabled Operation of Multi Energy Hubs Considering Electric Vehicles and Demand Response.
IEEE Trans. Intell. Transp. Syst., February, 2023
Editorial Special Issue on Application of Advanced Intelligent Methods in Vehicle to Smart Grid Communications: Security, Reliability, and Resiliency.
IEEE Trans. Intell. Transp. Syst., January, 2023
A Cyber-Physical Architecture for Microgrids based on Deep learning and LORA Technology.
CoRR, 2023
A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future.
IEEE Access, 2023
2022
Uncertainty Modeling for Participation of Electric Vehicles in Collaborative Energy Consumption.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 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
IEEE Trans. Green Commun. Netw., 2022
Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval.
IEEE Trans. Cybern., 2022
AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting.
CoRR, 2022
A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids.
IEEE Access, 2022
A Survey on Deep Learning Role in Distribution Automation System: A New Collaborative Learning-to-Learning (L2L) Concept.
IEEE Access, 2022
A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids.
IEEE Access, 2022
2021
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
A Machine-Learning-Based Cyber Attack Detection Model for Wireless Sensor Networks in Microgrids.
IEEE Trans. Ind. Informatics, 2021
Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price.
IEEE Trans. Control. Netw. Syst., 2021
Ad Hoc Networks, 2021
Short-Term Scheduling of a Renewable-Based Microgrid: Stochastic/Economic Battery Modeling.
IEEE Access, 2021
Cyber-Attack Detection and Cyber-Security Enhancement in Smart DC-Microgrid Based on Blockchain Technology and Hilbert Huang Transform.
IEEE Access, 2021
Cyber Attack Detection Based on Wavelet Singular Entropy in AC Smart Islands: False Data Injection Attack.
IEEE Access, 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
An Intelligent Data-Driven Model to Secure Intravehicle Communications Based on Machine Learning.
IEEE Trans. Ind. Electron., 2020
Real-time monitoring and operation of microgrid using distributed cloud-fog architecture.
J. Parallel Distributed Comput., 2020
False Data Injection Attack Detection based on Hilbert-Huang Transform in AC Smart Islands.
IEEE Access, 2020
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
2019
Stochastic Electricity Social Welfare Enhancement Based on Consensus Neighbor Virtualization.
IEEE Trans. Ind. Electron., 2019
A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Ind. Electron., 2019
CoRR, 2019
A Reliability-Oriented Fuzzy Stochastic Framework in Automated Distribution Grids to Allocate μ-PMUs.
IEEE Access, 2019
A Guided Procedure for Governance Institutions to Regulate Funding Requirements of Solar PV Projects.
IEEE Access, 2019
Proceedings of the Internet of Things. A Confluence of Many Disciplines, 2019
2018
Optimal Routing and Charging of an Electric Vehicle Fleet for High-Efficiency Dynamic Transit Systems.
IEEE Trans. Smart Grid, 2018
Stochastic Resilient Post-Hurricane Power System Recovery Based on Mobile Emergency Resources and Reconfigurable Networked Microgrids.
IEEE Access, 2018
2017
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE Trans. Geosci. Remote. Sens., 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
A Novel Stochastic Framework Based on Cloud Theory and θ-Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration.
IEEE Trans. Smart Grid, 2016
Optimal energy management of smart renewable micro-grids in the reconfigurable systems using adaptive harmony search algorithm.
Int. J. Bio Inspired Comput., 2016
2015
Expected Cost Minimization of Smart Grids With Plug-In Hybrid Electric Vehicles Using Optimal Distribution Feeder Reconfiguration.
IEEE Trans. Ind. Informatics, 2015
Impact of Hydrogen Production and Thermal Energy Recovery of PEMFCPPs on Optimal Management of Renewable Microgrids.
IEEE Trans. Ind. Informatics, 2015
IEEE Trans. Ind. Informatics, 2015
A sufficient stochastic framework to capture the uncertainty of load models in the management of distributed generations in power systems.
J. Intell. Fuzzy Syst., 2015
A novel stochastic framework for energy management in renewable micro-grids considering uncertainty of measurement and forecasting.
J. Intell. Fuzzy Syst., 2015
J. Intell. Fuzzy Syst., 2015
An smart stochastic approach to model plug-in hybrid electric vehicles charging effect in the optimal operation of micro-grids.
J. Intell. Fuzzy Syst., 2015
An intelligent approach for optimal capacitor placement problem as a reliability reinforcement strategy.
J. Intell. Fuzzy Syst., 2015
Effect of wind turbine on the economic load dispatch problem considering the wind speed uncertainty.
J. Intell. Fuzzy Syst., 2015
Optimal probabilistic reconfiguration of smart distribution grids considering penetration of plug-in hybrid electric vehicles.
J. Intell. Fuzzy Syst., 2015
2014
A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines.
J. Intell. Fuzzy Syst., 2014
Short term load forecasting of distribution systems by a new hybrid modified FA-backpropagation method.
J. Intell. Fuzzy Syst., 2014
A novel adaptive modified harmony search algorithm to solve multi-objective environmental/economic dispatch.
J. Intell. Fuzzy Syst., 2014
An intelligent multi-objective stochastic framework to solve the distribution feeder reconfiguration considering uncertainty.
J. Intell. Fuzzy Syst., 2014
A hybrid method based on wavelet, ANN and ARIMA model for short-term load forecasting.
J. Exp. Theor. Artif. Intell., 2014
A novel sufficient bio-inspired optimisation method based on modified krill herd algorithm to solve the economic load dispatch.
Int. J. Bio Inspired Comput., 2014
A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting.
Expert Syst. Appl., 2014
A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
A new hybrid correction method for short-term load forecasting based on ARIMA, SVR and CSA.
J. Exp. Theor. Artif. Intell., 2013
A new fuzzy-based feature selection and hybrid TLA-ANN modelling for short-term load forecasting.
J. Exp. Theor. Artif. Intell., 2013
Neurocomputing, 2013
2011
Consideration effect of uncertainty in power system reliability indices using radial basis function network and fuzzy logic theory.
Neurocomputing, 2011
A Novel Method Based on Modified Shuffled Frog Leaping Algorithm and Artificial Neural Network for Power System Load Prediction.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011