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Hua Geng

Tsinghua University

Beijing, 100084

China

  • Tsinghua University

SCHOLARLY PAPERS

2

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72

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0

Scholarly Papers (2)

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1.

An Efficient Probabilistic Forecasting Method with Monotonicity Guarantees Based on Conditional Variational Autoencoders for Power System Time Series Data

Downloads 52 (1,041,696)

An Efficient Probabilistic Forecasting Method with Monotonicity Guarantees Based on Conditional Variational Autoencoders for Power System Time Series Data

Number of pages: 15 Posted: 16 Sep 2025
BOZHEN JIANG, Hongyuan Yang, Yidi Wang, QIN WANG and Hua Geng
Hong Kong Polytechnic University, Wesleyan University, China Electric Power Research Institute, Hong Kong Polytechnic University and Tsinghua University
Downloads 33 (1,311,254)

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Probabilistic Forecasting, power system time series, artificial neural network, conditional variantional autoencoder, Bayesian neural networks

An Efficient Probabilistic Forecasting Method with Monotonicity Guarantees Based on Conditional Variational Autoencoders for Power System Time Series Data

Number of pages: 15 Posted: 16 Sep 2025
BOZHEN JIANG, Hongyuan Yang, Yidi Wang, QIN WANG and Hua Geng
Hong Kong Polytechnic University, Wesleyan University, China Electric Power Research Institute, Hong Kong Polytechnic University and Tsinghua University
Downloads 19 (1,513,226)

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Probabilistic Forecasting, power system time series, artificial neural network, conditional variantional autoencoder, Bayesian neural networks

2.

Coordinated Deloading Control of Pmsg-Based Wecs Without Wind Speed Measurement

Number of pages: 17 Posted: 15 May 2024
Wei Chen, Hua Geng, Wenbin Yang, Haifeng Qi, Qing Chen, Xiaohe Wang and Taiying Zheng
affiliation not provided to SSRN, Tsinghua University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Zhejiang University
Downloads 20 (1,448,301)

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Deloading control, Wind energy conversion system, no wind speed measurement, rotor overspeeding control, pitch angle control.