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Hongyuan Yang

Wesleyan University

Middletown, CT 06459

United States

  • Wesleyan University

SCHOLARLY PAPERS

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Scholarly Papers (1)

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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