Paul Rebour
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Paul Rebour Email & Phone Number

Master Thesis Intern – ML and DL Time Series Forecasting for Electricity Market Prices at Evolta Technologies
Location: ÉCublens, Vaud, Switzerland 8 work roles 4 schools
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Role
Master Thesis Intern – ML and DL Time Series Forecasting for Electricity Market Prices
Location
ÉCublens, Vaud, Switzerland
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Paul Rebour is listed as Master Thesis Intern – ML and DL Time Series Forecasting for Electricity Market Prices at Evolta Technologies, a with 6 employees, based in ÉCublens, Vaud, Switzerland. AeroLeads shows a matched LinkedIn profile for Paul Rebour.

Paul Rebour previously worked as Data Engineer Internship in Electrical Grid at Sig and Start-Up Relations Manager at Forum Epfl. Paul Rebour holds Master, Energy Science And Technology from Ecole Polytechnique Fédérale De Lausanne.

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Evolta Technologies

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About Paul Rebour

Driven by a constant curiosity, I am committed to tackling the challenges of energy transition. By integrating my skills in data science, I aim to explore new perspectives and develop innovative, sustainable solutions for a more efficient energy future.

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Paul Rebour's current company

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Evolta Technologies
Evolta Technologies
Master Thesis Intern – ML and DL Time Series Forecasting for Electricity Market Prices
Ecublens, VD, CH
Employees
6
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8 roles

Paul Rebour work experience

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Master Thesis Intern – Ml And Dl Time Series Forecasting For Electricity Market Prices

Ecublens, Vd, Ch

Data Engineer Internship In Electrical Grid

Current
Sig

Geneva, Switzerland

Developed ETL pipelines to automate data ingestion and transformation from Oracle servers.Utilized Spark SQL for data processing and automated asset reporting across the Geneva electrical grid.Created a unified database using a multi-tiered architecture to centralize and optimize data processing for grid management.

Sep 2024 - Present

Start-Up Relations Manager

Co-head of start-up relations at the largest student recruitment fair in Europe, attracting over 22,000 visitors. Responsibilities include outreach and support for more than 130 start-ups, with a focus on fostering innovative initiatives and developing a collaborative dynamic between these young companies and emerging talent.

Mar 2024 - Oct 2024

Machine Learning Predictive Model For Solar Panel Adoption

Lausanne, Vaud, Switzerland

Developed an innovative socio-technical predictive model, soon to be published, that uses structural learning to build a Bayesian Network. This model uniquely combines social behavior and technical factors to forecast solar panel adoption among the Swiss population, offering a groundbreaking approach to understanding and encouraging renewable energy uptake.Part of the SWEET EDGE initiative, backed by the Swiss Federal Office of Energy (SFOE), the project analyzes regional motivations (Alps, cities, midlands) for solar adoption. It generates strategic scenarios supporting Switzerland’s Energy Strategy 2050, providing policymakers with data-driven insights to drive impactful, sustainable policies.

Mar 2024 - Jul 2024

Internal Team

Lausanne, Vaud, Switzerland

Member of the Consulting Society Team, involved in organizing events to promote consulting on campus. Contributed to setting up roundtable discussions and meetings between students and consultants, as well as organizing a national business case competition in collaboration with start-ups.

Sep 2023 - Jun 2024

Private Mentor For First-Year Students Of Epfl , Unil (University Of Lausanne) And Highscool

Freelance

Lausanne, Vaud, Switzerland

Experienced private tutor specializing in math and physics. Work with students from various academic backgrounds, including Informatics, Mechanics, Biology, Physics, Economics, Literature, and Architecture.

Sep 2020 - Jun 2024

Hybrid Storage System Optimization

Lausanne, Vaud, Switzerland

Creation of an informatic tool that facilitates the choice of a storage system composed of a battery and an oxygen tank given criterion such as cost, weight, volume, efficiency, and performance. The goal of the storage system is to help a medical device (concentrator), developed by the lab, to provide oxygen to patients that need oxygen. It ensures the concentrator works in regions with unreliable electrical grids, with a particular focus on low-middle income countries (LMICs). The biggest challenge was that optimization on this type of hybrid storage has never been studied before, therefore a lot of literature study and creativity was necessary. Additionally, comprehensive modeling of various components, including patient requirements, concentrator behavior, storage system operation, and grid outages, was necessary for this project. Statistical analysis was employed to model the duration and occurrence of grid outages, while scenarios were created to simulate patient oxygen needs accurately.

Feb 2023 - Jul 2023
4 education records

Paul Rebour education

FAQ

Frequently asked questions about Paul Rebour

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What company does Paul Rebour work for?

Paul Rebour works for Evolta Technologies.

What is Paul Rebour's role at Evolta Technologies?

Paul Rebour is listed as Master Thesis Intern – ML and DL Time Series Forecasting for Electricity Market Prices at Evolta Technologies.

Where is Paul Rebour based?

Paul Rebour is based in ÉCublens, Vaud, Switzerland while working with Evolta Technologies.

What companies has Paul Rebour worked for?

Paul Rebour has worked for Evolta Technologies, Sig, Forum Epfl, Epfl, and Epfl (École Polytechnique Fédérale De Lausanne).

How can I contact Paul Rebour?

You can use AeroLeads to view verified contact signals for Paul Rebour at Evolta Technologies, including work email, phone, and LinkedIn data when available.

What schools did Paul Rebour attend?

Paul Rebour holds Master, Energy Science And Technology from Ecole Polytechnique Fédérale De Lausanne.

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