Reza Arghandeh

Orcid: 0000-0002-0691-5426

According to our database1, Reza Arghandeh authored at least 41 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
A Survey on SAR and Optical Satellite Image Registration.
Remote. Sens., February, 2023

MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Causal-Based Spatio-Temporal Graph Neural Networks for Industrial Internet of Things Multivariate Time Series Forecasting.
Proceedings of the Explainable Artificial Intelligence, 2023

2022
Automated Satellite-Based Assessment of Hurricane Impacts on Roadways.
IEEE Trans. Ind. Informatics, 2022

Guest Editorial: Data-Driven Reliable and Resilient Energy System Against Disasters.
IEEE Trans. Ind. Informatics, 2022

Tree Species Classification Using High-Resolution Satellite Imagery and Weakly Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2022

Resilience Characterization for Multilayer Infrastructure Networks.
IEEE Intell. Transp. Syst. Mag., 2022

Self-organizing maps for scenario reduction in long-term hydropower scheduling.
Proceedings of the IECON 2022, 2022

2021
Automated 3D Vegetation Detection Along Power Lines using Monocular Satellite Imagery and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Inflow Forecasting Based On Principal Component Analysis and Long Short Term Memory.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
Guest Editorial Theory and Application of PMUs in Power Distribution Systems.
IEEE Trans. Smart Grid, 2020

Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System.
IEEE Trans. Smart Grid, 2020

Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting.
IEEE Trans. Ind. Electron., 2020

Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data.
ACM Trans. Cyber Phys. Syst., 2020

2019
Combined Electricity and Traffic Short-Term Load Forecasting Using Bundled Causality Engine.
IEEE Trans. Intell. Transp. Syst., 2019

Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks.
IEEE Trans. Ind. Electron., 2019

Causal Markov Elman Network for Load Forecasting in Multinetwork Systems.
IEEE Trans. Ind. Electron., 2019

Multiple Kernel Semi-Representation Learning With Its Application to Device-Free Human Activity Recognition.
IEEE Internet Things J., 2019

Shape Preserving Incremental Learning for Power Systems Fault Detection.
IEEE Control. Syst. Lett., 2019

Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning.
CoRR, 2019

Multi-Network Vulnerability Causal Model for Infrastructure Co-Resilience.
IEEE Access, 2019

Power Resilience Assessment from Physical and Socio-Demographic Perspectives.
Proceedings of the 4th International Conference on System Reliability and Safety, 2019

2018
Partial Knowledge Data-Driven Event Detection for Power Distribution Networks.
IEEE Trans. Smart Grid, 2018

Design Automation for Smart Building Systems.
Proc. IEEE, 2018

Co-resilience Assessment of Hurricane-induced Power Grid and Roadway Network Disruptions: A Case Study in Florida with a Focus on Critical Facilities.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Multivariate Deep Causal Network for Time Series Forecasting in Interdependent Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Micro-Synchrophasors for Power Distribution Monitoring, a Technology Review.
CoRR, 2016

Abnormal event detection with high resolution micro-PMU data.
Proceedings of the Power Systems Computation Conference, 2016

Online learning of Contextual Hidden Markov Models for temporal-spatial data analysis.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Data-driven event detection with partial knowledge: A Hidden Structure Semi-Supervised learning method.
Proceedings of the 2016 American Control Conference, 2016

2015
Phase Identification in Distribution Networks with Micro-Synchrophasors.
CoRR, 2015

Data-Driven Approach for Distribution Network Topology Detection.
CoRR, 2015

Distribution Network Topology Detection with Time Series Measurement Data Analysis.
CoRR, 2015

On the Definition of Cyber-Physical Resilience in Power Systems.
CoRR, 2015

Topology Detection in Microgrids with Micro-Synchrophasors.
CoRR, 2015

A unified platform enabling power system circuit model data transfer among different software.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Distribution network topology detection with time-series measurements.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

2014
Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Micro-synchrophasors for distribution systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

2012
Flywheel Energy Storage Systems for Ride-through Applications in a Facility Microgrid.
IEEE Trans. Smart Grid, 2012


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