Variational Bayesian inference for the probabilistic model of power load-Reference-Cited by-同舟云学术

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Variational Bayesian inference for the probabilistic model of power load

Published:2014-11 Issue:11 Volume:8 Page:1860-1868
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Dong Zijian¹,Wang Yunpeng²,Zhao Jing³

Affiliation:

1. School of Electronic EngineeringHuaihai Institute of TechnologyLianyungangJiangsuPeople's Republic of China

2. Electrical and Computer Engineering DepartmentUniversity of MiamiCoral GablesUSA

3. Department of Electrical and Computer EngineeringStevens Institute of TechnologyHobokenUSA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2013.0237

Reference24 articles.

1. A multivariate descriptor method for change-point detection in nonlinear time series

2. Getting Smart

3. Toward a smart grid: power delivery for the 21st century

4. Feature Extraction via Multiresolution Analysis for Short-Term Load Forecasting

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel deep learning based probabilistic power flow method for Multi-Microgrids distribution system with incomplete network information;Applied Energy;2023-04

2. Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data;Energies;2019-11-14

3. Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation;IEEE Transactions on Power Systems;2018-09

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