Zhangshuan Hou

Orcid: 0000-0002-9388-6060

According to our database1, Zhangshuan Hou authored at least 12 papers between 2013 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Smart Sampling of Representative Hourly Power Generation Scenario With High Renewable Penetration.
IEEE Access, 2024

2023
Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute.
CoRR, 2023

Dynamic Security Analysis Framework for Future Large Grids With High Renewable Penetrations.
IEEE Access, 2023

2022
Modeling framework for evaluating the impacts of hydrodynamic pressure on hydrologic exchange fluxes and residence time for a large-scale river section over a long-term period.
Environ. Model. Softw., 2022

Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework.
Comput., 2022

2021
Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data.
Remote. Sens., 2021

2020
Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Optimal Future Sub-Transmission Volt-Var Planning Tool to Enable High PV Penetration.
CoRR, 2019

Machine Learning of Commercial and Residential Load Components in the Northwestern United States.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Pattern Mining and Anomaly Detection based on Power System Synchrophasor Measurements.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2015
Bayesian Calibration of the Community Land Model Using Surrogates.
SIAM/ASA J. Uncertain. Quantification, 2015

2013
Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013


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