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DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion
  Model

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model

31 May 2023
Zhixian Wang
Qingsong Wen
Chaoli Zhang
Liang Sun
Yi Wang
    DiffM
ArXivPDFHTML

Papers citing "DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model"

3 / 3 papers shown
Title
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Keli Zhang
AI4TS
79
1
0
16 Feb 2025
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1