Mohammed Hlal
Dados Biográficos
| ID | 9806969 |
|---|---|
| NOME | Mohammed Hlal |
| PRENOMES | Mohammed |
| SOBRENOME | Hlal |
| ASSINATURA | HLAL M |
| AFILIAÇÕES | Université Mohammed VI Polytechnique |
| ORCID | 0000-0001-7059-5386 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Comparative modeling of household electricity consumption in France
Electricity consumption in Europe has risen significantly in recent years, with households being the largest consumers of final electricity. Managing and reducing residential power consumption is critical for achieving efficient and sustainable energy management, conserving financial resources, and mitigating environmental effects. Many studies have used statistical models such as linear, multinomial, ridge, polynomial, and LASSO regression to ex…
Earthquake risks assessment and urban vulnerability
This study introduces an innovative approach to assessing seismic risks and urban vulnerabilities in Nador, a coastal city in northeastern Morocco at the convergence of the African and Eurasian tectonic plates. By integrating advanced spatial datasets, including Landsat 8–9 OLI imagery, Digital Elevation Models (DEM), and seismic intensity metrics, the research develops a robust urban vulnerability index model. This model incorporates urban land …
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Earthquake risks assessment and urban vulnerability
This study introduces an innovative approach to assessing seismic risks and urban vulnerabilities in Nador, a coastal city in northeastern Morocco at the convergence of the African and Eurasian tectonic plates. By integrating advanced spatial datasets, including Landsat 8–9 OLI imagery, Digital Elevation Models (DEM), and seismic intensity metrics, the research develops a robust urban vulnerability index model. This model incorporates urban land …
Comparative modeling of household electricity consumption in France
Electricity consumption in Europe has risen significantly in recent years, with households being the largest consumers of final electricity. Managing and reducing residential power consumption is critical for achieving efficient and sustainable energy management, conserving financial resources, and mitigating environmental effects. Many studies have used statistical models such as linear, multinomial, ridge, polynomial, and LASSO regression to ex…
Computer Science (2 obras) · Environmental Science (2 obras) · Digital elevation model (1 obras) · earthquake and tectonic studies (1 obras) · Econometrics (1 obras) · Economic geography (1 obras) · Economics (1 obras) · Electrical engineering (1 obras) · Electricity (1 obras) · Energy Efficiency and Management (1 obras)