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2020 – today
- 2024
[j6]Tse-Chun Chen
, Meghana Ramesh, Chuan Qin, Bharat Vyakaranam, Zhangshuan Hou, Travis C. Douville, Nader A. Samaan:
Smart Sampling of Representative Hourly Power Generation Scenario With High Renewable Penetration. IEEE Access 12: 115319-115328 (2024)- 2023
- [j5]Kishan Prudhvi Guddanti, Bharat Vyakaranam, Kaveri Mahapatra, Zhangshuan Hou, Pavel V. Etingov, Nader Samaan, Tony Nguyen, Quan Nguyen:
Dynamic Security Analysis Framework for Future Large Grids With High Renewable Penetrations. IEEE Access 11: 8159-8171 (2023) - [i2]Chuan Qin, Dexin Wang, Kishan Prudhvi Guddanti, Xiaoyuan Fan, Zhangshuan Hou:
Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute. CoRR abs/2311.07758 (2023) - 2022
- [j4]Georgios Karagiannis, Zhangshuan Hou, Maoyi Huang, Guang Lin:
Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework. Comput. 10(5): 72 (2022) - [j3]Jie Bao, Yunxiang Chen, Yilin Fang, Xuehang Song, William Perkins, Zhuoran Duan, Pin Shuai, Huiying Ren, Zhangshuan Hou, Marshall C. Richmond, Xiaoliang He, Timothy D. Scheibe:
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. 148: 105277 (2022) - 2021
- [j2]Xiaoqin Zang, Tianzhixi Yin, Zhangshuan Hou, Robert P. Mueller, Zhiqun Daniel Deng, Paul T. Jacobson:
Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data. Remote. Sens. 13(14): 2671 (2021) - 2020
- [c4]Tianzhixi Yin, Xiaoqin Zang, Zhangshuan Hou, Paul T. Jacobson, Robert T. Mueller, Zhiqun Daniel Deng:
Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network. HICSS 2020: 1-8
2010 – 2019
- 2019
- [c3]Huifen Zhou, Zhangshuan Hou, Pavel V. Etingov, Yuan Liu:
Machine Learning of Commercial and Residential Load Components in the Northwestern United States. e-Energy 2019: 385-387 - [i1]Quan Nguyen, Xinda Ke, Nader Samaan, Jesse Holzer, Marcelo Elizondo, Huifen Zhou, Zhangshuan Hou, Renke Huang, Mallikarjuna Vallem, Bharat Vyakaranam, Malini Ghosal, Yuri V. Makarov:
Optimal Future Sub-Transmission Volt-Var Planning Tool to Enable High PV Penetration. CoRR abs/1910.10934 (2019) - 2018
- [c2]Huiying Ren, Zhangshuan Hou, Heng Wang, Dimitri Zarzhitsky, Pavel V. Etingov:
Pattern Mining and Anomaly Detection based on Power System Synchrophasor Measurements. HICSS 2018: 1-7 - 2015
- [j1]Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Khachik Sargsyan, Laura P. Swiler:
Bayesian Calibration of the Community Land Model Using Surrogates. SIAM/ASA J. Uncertain. Quantification 3(1): 199-233 (2015) - 2013
- [c1]Zhangshuan Hou, Yuri V. Makarov, Nader A. Samaan, Pavel V. Etingov:
Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms. HICSS 2013: 5005-5011
Coauthor Index
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