Abdelhakim Dorbane
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View article: Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study Open
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into the power grid. This study presents an effective deep-learning approach that improves short-term wind power forec…
View article: Energy efficiency of a house in Mediterranean region: insulation and glazing impact
Energy efficiency of a house in Mediterranean region: insulation and glazing impact Open
The insulation of a building's envelope is critical for reducing energy consumption, enhancing indoor thermal comfort, and achieving sustainable development goals. This theoretical work focused on the energy and thermal aspect of insulator…
View article: Energy consumption prediction in water treatment plants using deep learning with data augmentation
Energy consumption prediction in water treatment plants using deep learning with data augmentation Open
Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role in meeting stringent effluent quality regulations. Accurate prediction of energy consumption in WWTPs is essential for cost savings, process opti…
View article: Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests
Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests Open
This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM). …