Imane Jebli
Mohammed V University
4 Papers
Imane Jebli is an academic researcher from Mohammed V University. The author has contributed to research in topics: Solar energy & Deep learning. The author has an hindex of 2, co-authored 4 publications.
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Papers
Prediction of solar energy guided by pearson correlation using machine learning
TL;DR: The relevance of the studied models was evaluated for real-time and short-term solar energy forecasting to ensure optimized management and security requirements in this field while using an integral solution based on a single tool and an appropriate predictive model.
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Deep Learning based Models for Solar Energy Prediction
TL;DR: In this paper, the authors present a proposal for a new taxonomy for taxonomy and taxonomy of taxonomic categories in the taxonomic hierarchy of the taxonomies of a taxonomy.
38
The forecasting of solar energy based on Machine Learning
Imane Jebli,Fatima-Zahra Belouadha,Mohammed Issam Kabbaj +2 more
- 04 Mar 2020
TL;DR: The fundamental principles of the machine learning based approaches for solar energy forecasting are discussed, which aim is to reduce the uncertainty of variable renewable production.
14
Artificial intelligence-enabled and period-aware forecasting COVID-19 spread
TL;DR: In this article, the authors studied the effectiveness of machine learning techniques using Morocco as a case-study and studied the performance of six multi-step models derived from both Machine Learning and Deep Learning regards multiple scenarios by combining different time lags and three COVID-19 datasets(periods): confinement, deconfinement, and hybrid datasets.