Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms. - Zhangshuan Hou; Yuri V. Makarov; Nader A. Samaan; Pavel V. Etingov (HICSS, 2013)

Bayesian Calibration of the Community Land Model Using Surrogates. - Jaideep Ray; Zhangshuan Hou; Maoyi Huang; Khachik Sargsyan; Laura P. Swiler (SIAM/ASA J. Uncertain. Quantification, 2015)

Pattern Mining and Anomaly Detection based on Power System Synchrophasor Measurements. - Huiying Ren; Zhangshuan Hou; Heng Wang; Dimitri Zarzhitsky; Pavel V. Etingov (HICSS, 2018)

Machine Learning of Commercial and Residential Load Components in the Northwestern United States. - Huifen Zhou; Zhangshuan Hou; Pavel V. Etingov; Yuan Liu 023 (e-Energy, 2019)

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

Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network. - Tianzhixi Yin; Xiaoqin Zang; Zhangshuan Hou; Paul T. Jacobson; Robert T. Mueller; Zhiqun Daniel Deng (HICSS, 2020)

Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data. - Xiaoqin Zang; Tianzhixi Yin; Zhangshuan Hou; Robert P. Mueller; Zhiqun Daniel Deng; Paul T. Jacobson (Remote. Sens., 2021)

Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework. - Georgios Karagiannis; Zhangshuan Hou; Maoyi Huang; Guang Lin 001 (Comput., 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. - 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 (Environ. Model. Softw., 2022)

Dynamic Security Analysis Framework for Future Large Grids With High Renewable Penetrations. - Kishan Prudhvi Guddanti; Bharat Vyakaranam; Kaveri Mahapatra; Zhangshuan Hou; Pavel V. Etingov; Nader Samaan; Tony Nguyen; Quan Nguyen (IEEE Access, 2023)

Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute. - Chuan Qin; Dexin Wang; Kishan Prudhvi Guddanti; Xiaoyuan Fan; Zhangshuan Hou (CoRR, 2023)

Smart Sampling of Representative Hourly Power Generation Scenario With High Renewable Penetration. - Tse-Chun Chen; Meghana Ramesh; Chuan Qin; Bharat Vyakaranam; Zhangshuan Hou; Travis C. Douville; Nader A. Samaan (IEEE Access, 2024)

Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm. - Tao Huang; Xiaoqin Zang; Grigoriy Kondyukov; Zhangshuan Hou; Guanze Peng; Joachim Pander; Josef Knott; Juergen Geist; Meklit Berihun Melesse; Paul T. Jacobson; Zhiqun Daniel Deng (Ecol. Informatics, 2025)