Multistage spatio-temporal attention network based on NODE for short-term PV power forecasting-Reference-Cited by-同舟云学术

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Multistage spatio-temporal attention network based on NODE for short-term PV power forecasting

Published:2024-03 Issue: Volume:290 Page:130308
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Huang Songtao,Zhou Qingguo,Shen Jun^ORCID,Zhou Heng,Yong Binbin^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Multi-step prediction of photovoltaic power based on two-stage decomposition and bilstm;Lin;Neurocomputing,2022

2. Day-ahead hourly photovoltaic power forecasting using attention-based cnn-lstm neural network embedded with multiple relevant and target variables prediction pattern;Qu;Energy,2021

3. Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control;Rodríguez;Energy,2022

4. Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting;Wang;Energy Convers Manage,2019

5. Ultra-short-term forecasting for photovoltaic power plants and real-time key performance indicators analysis with big data solutions. two case studies - pv agigea and pv giurgiu located in romania;Oprea;Comput Ind,2020

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1. Multi 2D-CNN-based model for short-term PV power forecast embedded with Laplacian Attention;Energy Reports;2024-12

2. CloudSwinNet: A hybrid CNN-transformer framework for ground-based cloud images fine-grained segmentation;Energy;2024-11

3. Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning;Journal of Building Engineering;2024-10

4. A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm;Energy;2024-09

5. A Photovoltaic Fault Diagnosis Method Integrating Photovoltaic Power Prediction and EWMA Control Chart;Energies;2024-08-26

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