Huifen Zhou

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Kanade Lucas Tomasi

Top Venues

Publications

Tao Fu, Huifen Zhou, Xu Ma, Z. Jason Hou, Di Wu
Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning. CoRR (2022)
Yanhui Zhuang, Chaoqun Hong, Xuebai Zhang, Chaohui Tang, Huifen Zhou
FESTH: Visual Tracking with Feature Enhancement and Space-time History Frame Networks. IEEE BigData (2021)
Huifen Zhou, Z. Jason Hou, Yuan Liu, Pavel V. Etingov
Weather and Random Forest-based Load Profiling Approximation Models and Their Transferability across Climate Zones. HICSS (2021)
Huifen Zhou, Chaoqun Hong, Yong Han, Pengcheng Huang, Yanhui Zhuang
MH Pose: 3D Human Pose Estimation based on High-quality Heatmap. IEEE BigData (2021)
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)
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 (2019)