A Global Irradiance Prediction Model Using Convolutional Neural Networks, Wavelet Neural Networks, and Masked Multi-Head Attention Mechanism
Accurate prediction of global irradiance is critical for optimizing energy management in photovoltaic (PV) systems, particularly in solar-powered electric vehicles (ESVs). However, traditional models struggle to capture the complex spatial and temporal dependencies in irradiance data, limiting predi...
Saved in:
| Main Authors: | Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Salah Hannechi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10876149/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models
by: Walid Mchara, et al.
Published: (2025-09-01) -
Advanced health state intelligent diagnosis of lithium-ion batteries based on CNN-WNN-WBiLSTM model with attention mechanism
by: Walid Mchara, et al.
Published: (2025-04-01) -
Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network
by: Junfeng Guo, et al.
Published: (2020-01-01) -
Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems
by: Yang Zhao, et al.
Published: (2025-01-01) -
Driver cellphone usage detection using wavelet scattering and convolutional neural networks
by: Ali Besharati, et al.
Published: (2025-07-01)