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Chao Huang

University of Science and Technology Beijing

30 Xueyuan Road, Haidian District

beijing, 100083

China

  • University of Science and Technology Beijing

SCHOLARLY PAPERS

3

DOWNLOADS

121

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Two-Layer Decomposition-Fused Hybrid Deep Learning Enables Data-Driven Electricity Demand Forecasting for Battery Swapping Station

Downloads 95 (730,864)

Two-Layer Decomposition-Fused Hybrid Deep Learning Enables Data-Driven Electricity Demand Forecasting for Battery Swapping Station

Number of pages: 16 Posted: 25 Feb 2025
Pengcheng Du, Baian Chen, Bowen Yang, Meihui Jiang, Hongyu Zhu, Yu Du, Fannie Kong, Tianhao Liu, Chao Huang, Haisen Zhao, Hui Hwang Goh and Dongdong Zhang
Guangxi University, affiliation not provided to SSRN, Guangxi University, Guangxi University, Guangxi University, Linyi University, Guangxi University, Guangxi University, University of Science and Technology Beijing, North China Electric Power University, Guangxi University - School of Electrical Engineering and Guangxi University
Downloads 54 (1,049,673)

Abstract:

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Electricity demand preditionBattery swapping staionHybrid deep learning modelData-driven frameworkDifferent time scales-prediction

Two-Layer Decomposition-Fused Hybrid Deep Learning Enables Data-Driven Electricity Demand Forecasting for Battery Swapping Station

Number of pages: 16 Posted: 29 Apr 2025
Pengcheng Du, Baian Chen, Bowen Yang, Meihui Jiang, Hongyu Zhu, Yu Du, Fannie Kong, Tianhao Liu, Chao Huang, Haisen Zhao, Hui Hwang Goh and Dongdong Zhang
Guangxi University, affiliation not provided to SSRN, Guangxi University, Guangxi University, Guangxi University, Linyi University, Guangxi University, Guangxi University, University of Science and Technology Beijing, North China Electric Power University, affiliation not provided to SSRN and Inner Mongolia University of Technology
Downloads 22 (1,486,852)

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Electricity demand preditionBattery swapping staionHybrid deep learning modelData-driven frameworkDifferent time scales-prediction

Two-Layer Decomposition-Fused Hybrid Deep Learning Enables Data-Driven Electricity Demand Forecasting for Battery Swapping Station

Number of pages: 16 Posted: 09 May 2025
Pengcheng Du, Baian Chen, Bowen Yang, Meihui Jiang, Hongyu Zhu, Yu Du, Fannie Kong, Tianhao Liu, Chao Huang, Haisen Zhao, Hui Hwang Goh and Dongdong Zhang
Guangxi University, affiliation not provided to SSRN, Guangxi University, Guangxi University, Guangxi University, Linyi University, Guangxi University, Guangxi University, University of Science and Technology Beijing, North China Electric Power University, Guangxi University - School of Electrical Engineering and Inner Mongolia University of Technology
Downloads 19 (1,525,626)

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Electricity demand preditionBattery swapping staionHybrid deep learning modelData-driven frameworkDifferent time scales-prediction

2.

System-Level Optimization of Battery Swapping Stations via Multi-Agent Coordination and Two-Dimensional Demand Response

Downloads 16 (1,509,872)

System-Level Optimization of Battery Swapping Stations via Multi-Agent Coordination and Two-Dimensional Demand Response

Number of pages: 15 Posted: 01 Apr 2026
Pengcheng Du, Meihui Jiang, Hongyu Zhu, Yu Du, Fannie Kong, Tianhao Liu, Chao Huang, Haisen Zhao, Hui Hwang Goh, Yitong Shang and Dongdong Zhang
Guangxi University, Inner Mongolia University of Technology, Guangxi University, Linyi University, Guangxi University, Guangxi University, University of Science and Technology Beijing, North China Electric Power University, Guangxi University - School of Electrical Engineering, Hong Kong University of Science & Technology (HKUST) and Inner Mongolia University of Technology
Downloads 8 (1,621,812)

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Battery swapping staion demand flexibilityDynamic Spatiotemporal Demand ResponseEquity-aware cost allocationStackelberg game-based power scheduling

System-Level Optimization of Battery Swapping Stations via Multi-Agent Coordination and Two-Dimensional Demand Response

Number of pages: 14 Posted: 04 Apr 2026
Pengcheng Du, Tianhao Liu, Meihui Jiang, Hongyu Zhu, Yu Du, Fannie Kong, Chao Huang, Haisen Zhao, Hui Hwang Goh, Yitong Shang and Dongdong Zhang
Guangxi University, Guangxi University, Inner Mongolia University of Technology, Guangxi University, Linyi University, Guangxi University, University of Science and Technology Beijing, North China Electric Power University, affiliation not provided to SSRN, Hong Kong University of Science & Technology (HKUST) and Inner Mongolia University of Technology
Downloads 8 (1,635,165)

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Battery swapping staion demand flexibilityDynamic Spatiotemporal Demand ResponseEquity-aware cost allocationStackelberg game-based power scheduling

3.

Interpretable Household Energy Profiling Through Two-Stage Semantic-Aware Clustering

Number of pages: 17 Posted: 24 Apr 2026
Wenying Zeng, Chao Huang, Long Wang and Xiong Luo
affiliation not provided to SSRN, University of Science and Technology Beijing, University of Science and Technology Beijing and University of Science and Technology Beijing
Downloads 10 (1,555,090)

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Household energy profiling, Interpretable machine learning, Residential energy, Energy policy