تصفح حسب المؤلف "Benhmed, Kamel"
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Cost effective assessment of transformers using machine learning approach
Benhmed, Kamel; Shaban, Khaled Bashir; El-Hag, Ayman ( IEEE Computer Society , 2014 , Conference Paper)Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ... -
Feature selection for effective health index diagnoses of power transformers
Benhmed, Kamel; Mooman, Abdelniser; Younes, Abdunnaser; Shaban, Khaled; El-Hag, Ayman ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ... -
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar
Khandakar , Amith; Chowdhury, Muhammad E. H.; Kazi, Monzure- Khoda; Benhmed , Kamel; Touati , Farid; Al-Hitmi, Mohammed; Gonzales , Antonio Jr S. P.... more authors ... less authors ( MDPI AG , 2019 , Article)Photovoltaics (PV) output power is highly sensitive to many environmental parameters and the power produced by the PV systems is significantly affected by the harsh environments. The annual PV power density of around 2000 ... -
Novel Home Energy Optimization Technique based on Multi-Zone and Multi-Objective Approach
Benhmed, Kamel; Ellabban, Omar; Gastli, Adel ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)To improve energy building performance, many strategies are adopted such as demand response, data analytics and optimization. However, building with less energy consumption suggests the degradation of the occupant comfort. ... -
Prediction of Transformer Furan Levels
Shaban, Khaled Bashir; El-Hag, Ayman H.; Benhmed, Kamel ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ...