Master's thesis in Data & AI: Optimization of sustainable energy sources and energy infrastructure (Project SEMS)
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Job Description
We face a challenge of transitioning to sustainable energy sources while optimizing the existing infrastructure. Your task is to develop a deep learning model that uses historical weather data and energy demand to identify optimal locations for wind turbines, solar panels and water turbines. This includes considering the energy grids capacity and environmental factors, such as avoiding residential areas and nature parks. The goal is to enhance energy generation efficiency without overloading the grid.
Required interest(s)
- Data engineering
- Algorithms
- Energy Transition
- Software Development
What do you get
- A challenging assignment within a practical environment
- € 1000 compensation, € 500 + lease car or € 600 + living space
- Professional guidance
- Courses aimed at your graduation period
- Support from our academic Research center at your disposal
- Two vacation days per month
What you will do
- 65% Research
- 10% Analyze, design, realize
- 25% Documentation
Job Requirements
The current energy landscape faces the challenge of an accelerated transition to sustainable energy sources and the optimization of the energy infrastructure. An essential aspect of this transition is the effective deployment of wind turbines, solar panels, and water turbines in locations that are both favorable for energy generation and compatible with the existing energy infrastructure. The challenge lies in using available historical weather and energy consumption patterns while considering the capacity of the energy grid.
Salary and Benefits
The Assignment
The assignment involves developing and implementing a deep learning model that, based on historical weather data and energy demand, identifies the most suitable locations for placing green energy sources near companies utilizing SEMS. This includes considering the existing energy infrastructure and preventing overload in the energy grid. Additionally, it must take nature and the environment into account, ensuring that wind turbines are not placed in residential areas or nature parks.
You will investigate how an advanced algorithm, utilizing historical weather forecasts and energy demand data, can optimally identify suitable locations for implementing wind turbines, solar panels, and water turbines. The study will involve analyzing historical data related to weather patterns, energy consumption patterns, and the existing energy infrastructure.
Subsequently, the algorithm will be developed based on the research findings. The algorithm should be capable of selecting optimal locations for sustainable energy sources, with the output aligned with the capacity of the existing energy infrastructure. Furthermore, the algorithm should be dynamic enough to accommodate variations in weather conditions and energy demand.
Graduation Project SEMS
This master’s thesis is part of the SEMS graduation project. Our goal with these graduation assignments is to build a Sustainable Energy Management System that manages the distribution and load-balancing of green energy. The amount of green energy generated by sources such as solar panels and wind turbines fluctuates continuously. If it is possible to distribute this energy effectively, it should meet demand at any time of the day. Ultimately, we want the system to ensure that you can function independently of the national power grid at any moment (month, week, day, hour). The entire project has been divided into various graduation assignments, and this is one of them.
Click here to read more about the entire project.
About Info Support Research Center
We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.
Read more about Info Support Research here.
What does Info Support offer you during your graduation period?
Of course, we offer you an excellent package of graduation conditions with various options. These include:
- Laptop, all necessary tools, and development environments to successfully carry out your assignment
- A graduation allowance, where you have the choice of:
- € 1000 gross per month
- € 500 gross per month + lease car with fuel card
- € 600 gross per month + accommodation in Veenendaal
During your graduation internship, you will be included in one of our business units and in our Research Center. This will give you a good understanding of the developments within our projects and our research projects.
In addition, Info Support offers you:
- A challenging master’s thesis at a solid, growing, and financially healthy company
- Professional and experienced guidance, hybrid working
- A graduation program with, among other things, training sessions, knowledge evenings, project visits, activities, and team, unit, and company outings
- Experimentation with new products and releases that are in the pre-release phase
- Brainstorming with other graduates and IT colleagues who are collegial and passionate
- Potential for a permanent position in our IT Top Traineeship program!
About Info Support
Info Support specializes in custom software, data/AI solutions, management, and training and is active in the Finance, Industry, Agriculture, Food & Retail, Mobility & Public, and Healthcare sectors. We provide solid and innovative solutions for complex and critical software issues. Our headquarters are located in Veenendaal (NL) and Mechelen (BE). At present, approximately 500 employees are employed by Info Support.
Info Support’s working method is characterized by a number of core values: solidity, integrity, craftsmanship, and passion. These core values are intertwined in our work and the way we interact with each other. This year, we were also named a Top Employer in the Netherlands!
To ensure that all employees are always up to date with the latest developments, Info Support has an in-house knowledge center that eagerly satisfies the hunger for more or different knowledge and skills.
B2 language proficiency in Dutch is required.
- Salaris Vrij P.M
- Land nl
- Stad Veenendaal
- Vacature link Bezoek website
- Solliciteer direct! Bezoek website
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