TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction-Reference-Cited by-同舟云学术

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TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction

Published:2024-04 Issue: Volume:448 Page:141690
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Yu Chengming,Qiao Ji,Chen Chao,Yu Chengqing^ORCID,Mi Xiwei

Publisher

Elsevier BV

Reference57 articles.

1. Data driven day-ahead electrical load forecasting through repeated wavelet transform assisted SVM model;Aasim;Appl. Soft Comput.,2021

2. Review of photovoltaic power forecasting;Antonanzas;Sol. Energy,2016

3. Hybrid model based on K-means++ algorithm, optimal similar day approach, and long short-term memory neural network for short-term photovoltaic power prediction;Bai;Global Energy Interconnection,2023

4. Photovoltaic power prediction of LSTM model based on Pearson feature selection;Chen;Energy Rep.,2021

5. A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks;Chengqing;Energy,2023

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1. MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction;Information Fusion;2025-01

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