Process Automation for Customized Energy Prediction Models with Machine Learning
Romain Corail is a second-year international student of the engineering cycle in Information Systems Engineering (ING 2 GSI) from CY Tech, Cergy Université, France, and has joined UMT for a four-month research internship in the field of process automation and energy management using machine learning techniques. His internship is conducted under the supervision of PhD(c), Agresa Qosja, UMT, and Thibault Modeste, Mathematics Teacher, CY Tech, Cergy Université, France.
Research Focus
Romain’s project centers on the development of an automated system for personalized energy consumption forecasting, an area of growing importance as the world transitions toward smarter, more sustainable energy solutions.
The goal of his work is to design a complete forecasting pipeline, incorporating key stages such as:
- Data preprocessing
- Exploratory data analysis
- Application of machine learning models
As the project progresses, it will integrate more advanced techniques, including time-series models (e.g., Recurrent Neural Networks) and personalization strategies tailored to individual users’ energy usage patterns. A core objective is to fully automate the workflow, from data handling and preparation to model training and deployment, enabling scalable and reproducible solutions.
Expected Outcomes
By the end of the internship, Romain aims to deliver:
- A reproducible and well-documented forecasting pipeline.
- A structured report demonstrating both theoretical insights and practical implementation of advanced machine learning techniques.
Mentorship and Collaboration
Throughout his traineeship, Romain is working closely with his supervisors, benefitting from technical guidance, research mentorship, and collaborative exchange between UMT and CY Tech, Cergy Université, France. His work reflects the strong academic partnership fostered through the Erasmus+ program and highlights UMT’s commitment to international collaboration and research excellence
