A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy-Reference-Cited by-同舟云学术

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A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

Published:2024-02 Issue: Volume:356 Page:122341
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yang Yi,Xing Qianyi,Wang Kang,Li Caihong,Wang Jianzhou,Huang Xiaojia

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference71 articles.

1. Accurate ultra-short-term load forecasting based on load characteristic decomposition and convolutional neural network with bidirectional long short-term memory model;Zhang;Sustain Energy Grids Networks,2023

2. FedForecast: a federated learning framework for short-term probabilistic individual load forecasting in smart grid;Liu;Int J Electr Power Energy Syst,2023

3. Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors;Li;Electr Pow Syst Res,2023

4. An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization;Wang;Appl Energy,2022

5. Short-term power load forecasting system based on rough set, information granule and multi-objective optimization;Wang;Appl Soft Comput,2023

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1. Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant;International Journal of Electrical Power & Energy Systems;2024-10

2. Exploring the impacts of financial technologies and natural resources on sustainable development to advance SDGs-2030 across various time horizons;Resources Policy;2024-04

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