Energy Data Collection and Estimation
il y a 3 semaines
**Energy Data Collection and Estimation**:
- Réf
- **ABG-111847**
- Stage master 2 / Ingénieur- Durée 4 mois- Salaire net mensuel A négocier- 08/03/2023- De Vinci Research Center, Pôle Universitaire Léonard de Vinci- Lieu de travail- La Défense Ile-de-France France- Champs scientifiques- Informatique
- Energie
- Mathématiques
- Mots clés- smart grid; energy; EMS; digital twin-
- 14/04/2023**Établissement recruteur**:
**Site web**:
De Vinci Research Center a pour objectif de développer une recherche de qualité, reconnue dans les communautés académiques nationales et internationales, de développer une recherche partenariale reconnue par la communauté économique et industrielle, de diffuser une culture de la recherche dans les formations de l’ESILV et l’EMLV, de favoriser les synergies entre les spécialisations des écoles et l’expertise du DVRC et de promouvoir l’interdisciplinarité entre les sciences de l’ingénieur et les sciences de gestion.
La recherche, axée sur l’innovation et le numérique, se structure au sein de quatre groupes de recherche et d’une cellule de recherche partenariale.
**Description**:
This offer is part of the project MAESHA that aims to decarbonize the energy in the island of Mayotte and other European islands. In this context, we are seeking an intern to assist in the analysis of data related to electric grids in Mayotte, including energy demands and production, regional populations, geographical consumers and contractual aspects. The intern will work with our team to develop approximations and estimations of geographical energy demands, transmission cables locations and connections, and other related analyses. The intern is going to work on:
- Collecting and cleaning data from various sources
- Developing statistical models and algorithms to analyze the data
- Presenting findings to the team and contributing to reports and presentations
- Collaborating with team members to identify areas for further research and analysis
Qualifications:
- Pursuing a degree in a relevant field such as statistics, data science, electrical engineering, or a related discipline
- Strong analytical and problem-solving skills
- Familiarity with data visualization tools
- Experience with statistical analysis tools such as R or Python is a plus
- Familiarity with energy systems or electrical grids is a plus but not required
**Profil**:
Qualifications:
- Pursuing a degree in a relevant field such as statistics, data science, electrical engineering, or a related discipline
- Strong analytical and problem-solving skills
- Familiarity with data visualization tools
- Experience with statistical analysis tools such as R or Python is a plus
- Familiarity with energy systems or electrical grids is a plus but not required
**Prise de fonction**:
- 03/04/2023
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