• Advancements in super-resolution methods for smart meter data 

      Iversen, Malin; Khan, Mehak; Miraki, Amir; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      This paper presents a comprehensive review of super-resolution methods for smart meter data analysis. Smart meters provide valuable insights into household electricity consumption, but their low-frequency data limits the ...
    • Analyzing COVID-19 Impacts on Vehicle Travels and Daily Nitrogen Dioxide (NO2) Levels among Florida Counties 

      Karaer, Alican; Balafkan, Nozhan; Gazzea, Michele; Arghandeh, Reza; Ozguven, Eren Erman (Journal article; Peer reviewed, 2020)
      The COVID-19 outbreak and ensuing social distancing behaviors resulted in substantial reduction on traffic, making this a unique experiment on observing the air quality. Such an experiment is also supplemental to the smart ...
    • Automated Power Lines Vegetation Monitoring using High-Resolution Satellite Imagery 

      Gazzea, Michele; Pacevicius, Michael Felix; Dammann, Dyre Oliver; Sapronova, Alla; Lunde, Torleif Markussen; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
      Vegetation Management is a significant preventive maintenance expense in many power transmission and distribution companies. Traditional Vegetation Management operational practices have proven ineffective and are rapidly ...
    • Automated Satellite-based Assessment of Hurricane Impacts on Roadways 

      Gazzea, Michele; Karaer, Alican; Ghorbanzadeh, Mahyar; Balafkan, Nozhan; Abichou, Tarek; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
      During extreme weather events like hurricanes, trees can cause significant challenges for the local communities with roadway closures or power outages. Local responders must act quickly with information regarding the extent ...
    • Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks 

      Ucar, Ferhat; Cordova, Jose; Alcin, Omer F.; Dandil, Besir; Ata, Fikret; Arghandeh, Reza (Journal article; Peer reviewed, 2019)
      This paper presents a novel method for online power quality data analysis in transmission networks using a machine learning-based classifier. The proposed classifier has a bundle structure based on the enhanced version of ...
    • Day-ahead inflow forecasting using causal empirical decomposition 

      Yousefi, Mojtaba; Cheng, Xiaomei; Gazzea, Michele; Wierling, August Hubert; Rajasekharan, Jayaprakash; Helseth, Arild; Farahmand, Hossein; Arghandeh, Reza (Peer reviewed; Journal article, 2022)
      It is essential to have accurate and reliable daily-inflow forecasting to improve short-term hydropower scheduling. This paper proposes a Causal multivariate Empirical mode Decomposition (CED) framework as a complementary ...
    • Distribution line parameter estimation driven by probabilistic data fusion of D-PMU and AMI 

      Xiao, Mengmeng; Xie, Wei; Fang, Chen; Wang, Shaorong; Li, Yan; Liu, Shu; Ullah, Zia; Zheng, Xuejun; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
      This paper proposes a novel distribution line parameter estimation method, driven by the probabilistic data fusion of the distributed phasor measurement unit (D-PMU) and the advanced measurement infrastructure. The ...
    • High-resolution mapping of forest structure from integrated SAR and optical images using an enhanced U-net method 

      Gazzea, Michele; Solheim, Adrian Aase; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      Forest structure is an essential part of biodiversity and ecological analysis and provides crucial insights to address challenges in these areas. Modern sensor technologies unlock new possibilities for more advanced ...
    • MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching 

      Gazzea, Michele; Sommervold, Oscar; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      Accurate synthetic aperture radar-optical matching is essential for combining the complementary information from the two sensors. However, the main challenge is overcoming the different heterogeneous characteristics of the ...
    • Multi-Network Vulnerability Causal Model for Infrastructure Co-Resilience 

      Konila Sriram, Lalitha Madhavi; Ulak, Mehmet Baran; Ozguven, Eren Erman; Arghandeh, Reza (Journal article; Peer reviewed, 2019)
      Resilience is mostly considered as a single-dimension attribute of a system. Most of the recent works on resilience treat it as a single-dimension attribute of a system or study the different dimensions of the resilience ...
    • Multimodal Asynchronous Kalman Filter for monitoring unstable rock slopes 

      Schild, Lukas; Scheiber, Thomas; Snook, Paula; Arghandeh, Reza; Samnøy, Stig Frode; Maschler, Alexander; Kristensen, Lene (Peer reviewed; Journal article, 2023)
      Unstable rock slopes pose a hazard to inhabitants and infrastructure in their vicinity, necessitating advanced monitoring methodologies for timely risk assessment and mitigation. Recent geotechnical monitoring techniques ...
    • The Road toward Smart Cities: A Study of Citizens’ Acceptance of Mobile Applications for City Services 

      Hou, Jinghui (Jove); Arpan, Laura; Wu, Yijie; Feiock, Richard; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2020)
      Many local governments have started using smartphone applications to more effectively inform and communicate with citizens. This trend is of interest, as cities can only be smart if they are responsive to their citizens. ...
    • Short-term inflow forecasting in a dam-regulated river in Southwest Norway using causal variational mode decomposition 

      Yousefi, Mojtaba; Wang, Jinghao; Høivik, Øivind Fandrem; Rajasekharan, Jayaprakash; Wierling, August Hubert; Farahmand, Hossein; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      Climate change affects patterns and uncertainties associated with river water regimes, which significantly impact hydropower generation and reservoir storage operation. Hence, reliable and accurate short-term inflow ...
    • Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages 

      Ghorbanzadeh, Mahyar; Koloushani, Mohammadreza; Ulak, Mehmet Baran; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2020)
      Hurricanes lead to substantial infrastructure system damages, such as roadway closures and power outages, in the US annually, especially in states like Florida. As such, this paper aimed to assess the impacts of Hurricane ...
    • A Survey on SAR and Optical Satellite Image Registration 

      Sommervold, Oscar; Gazzea, Michele; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      After decades of research, automatic synthetic aperture radar (SAR)-optical registration remains an unsolved problem. SAR and optical satellites utilize different imaging mechanisms, resulting in imagery with dissimilar ...
    • Traffic monitoring system design considering multi-hazard disaster risks 

      Gazzea, Michele; Miraki, Amir; Alisan, Onur; Kuglitsch, Monique M.; Pelivan, Ivanka; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      Roadways are critical infrastructure in our society, providing services for people through and between cities. However, they are prone to closures and disruptions, especially after extreme weather events like hurricanes. ...