Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems DOI
S. CABIDDU, Manuela Sanguinetti, A. De Falco

и другие.

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 4643 - 4649

Опубликована: Дек. 15, 2024

Язык: Английский

A new paradigm based on Wasserstein Generative Adversarial Network and time-series graph for integrated energy system forecasting DOI
Zhirui Tian, Gai Mei

Energy Conversion and Management, Год журнала: 2025, Номер 326, С. 119484 - 119484

Опубликована: Янв. 13, 2025

Язык: Английский

Процитировано

2

Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning DOI
Zhirui Tian, Yujie Chen, Guangyu Wang

и другие.

Applied Energy, Год журнала: 2025, Номер 386, С. 125525 - 125525

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

1

An efficient approach for regional photovoltaic power forecasting optimization based on texture features from satellite images and transfer learning DOI
Yang Xie, Jianyong Zheng, Fei Mei

и другие.

Applied Energy, Год журнала: 2025, Номер 385, С. 125505 - 125505

Опубликована: Фев. 16, 2025

Язык: Английский

Процитировано

0

Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data DOI Creative Commons

Shijie Xu,

Hui Ma, Chandima Ekanayake

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122824 - 122824

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Photovoltaic power forecasting based on VMD-SSA-Transformer: Multidimensional analysis of dataset length, weather mutation and forecast accuracy DOI
Chao Zhai,

Xinyi He,

Zhixiang Cao

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135971 - 135971

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

SolarNexus: A deep learning framework for adaptive photovoltaic power generation forecasting and scalable management DOI
Hyunsik Min, Byeongjoon Noh

Applied Energy, Год журнала: 2025, Номер 391, С. 125848 - 125848

Опубликована: Апрель 11, 2025

Язык: Английский

Процитировано

0

Wind and Photovoltaic Power Generation Forecasting for Virtual Power Plants Based on the Fusion of Improved K-Means Cluster Analysis and Deep Learning DOI Open Access

Zhichao Qiu,

Ye Tian, Yanhong Luo

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10740 - 10740

Опубликована: Дек. 7, 2024

Virtual power plants (VPPs) have emerged as an innovative solution for modern systems, particularly integrating renewable energy sources. This study proposes a novel prediction approach combining improved K-means clustering with Time Convolutional Networks (TCNs), Bi-directional Gated Recurrent Unit (BiGRU), and attention mechanism to enhance the forecasting accuracy of wind photovoltaic generation in VPPs. The proposed TCN-BiGRU-Attention model demonstrates superior predictive performance compared traditional models, achieving high robustness. These results provide reliable basis optimizing VPP operations sources effectively.

Язык: Английский

Процитировано

3

Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems DOI
S. CABIDDU, Manuela Sanguinetti, A. De Falco

и другие.

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 4643 - 4649

Опубликована: Дек. 15, 2024

Язык: Английский

Процитировано

0