A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models
Artificial intelligence (AI) is revolutionizing solar energy forecasting, enabling precise irradiance prediction for electric solar vehicles (ESVs) to optimize energy efficiency and extend driving range.This study introduces a novel AI-powered hybrid deep learning framework that synergistically comb...
Saved in:
| Main Authors: | Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Wissem Dimassi, Salah Hannachi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825001843 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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) -
A Global Irradiance Prediction Model Using Convolutional Neural Networks, Wavelet Neural Networks, and Masked Multi-Head Attention Mechanism
by: Walid Mchara, et al.
Published: (2025-01-01) -
Breast cancer classification based on hybrid CNN with LSTM model
by: Mourad Kaddes, et al.
Published: (2025-02-01) -
Optimized CNN-LSTM with hybrid metaheuristic approaches for solar radiation forecasting
by: İrem Fatma Şener, et al.
Published: (2025-08-01) -
A comparative study of multivariate CNN, BiLSTM and hybrid CNN–BiLSTM models for forecasting foreign exchange rate using deep learning
by: Elysee Nsengiyumva, et al.
Published: (2025-12-01)