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Yidi Wang

China Electric Power Research Institute

No. 15, Xiaoyingdonglu

Qinghe

Beijing, 100192

China

  • China Electric Power Research Institute

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

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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