Thesis Work Identifying distributed energy resources from consumption patterns

Are you a student looking to apply your knowledge to real-world solutions that support the energy transition With us you will have the opportunity to complete your thesis project close to the business working alongside experienced specialists and tackling challenges where your ideas and perspectives can make a real difference. 

About the Thesis Work

Vattenfall Research & Development (R&D) drives innovation to accelerate fossil freedom and create value across Vattenfall. The Customer Products & Solutions (CPS) Analytics Programme develops data-driven methods and AI-powered solutions to address challenges and opportunities within customer and energy-system domains. This thesis will be conducted within the Analytics Programme at Vattenfall R&D in close collaboration with the Data & Analytics group in Business Area Customers & Solutions in the Netherlands.

The growing adoption of distributed energy resources is transforming electricity production and consumption. Technologies such as electric vehicles heat pumps battery storage systems and solar PV create new forecasting challenges while also enabling more flexible and efficient energy services. Better insight into these resources could help customers optimize energy use and flexibility while supporting a more reliable energy system.

The thesis will investigate how distributed energy resources can be identified from electricity consumption data using data-driven and machine learning approaches. The project will explore load disaggregation and classification techniques to detect characteristic consumption patterns associated with specific energy resources. Improved visibility of customer assets can support applications such as load forecasting grid planning flexibility markets and customer-centric energy services.

The purpose of this thesis is to evaluate the feasibility and accuracy of identifying distributed energy resources from electricity consumption data. The student will:

• Review relevant literature on load disaggregation and energy asset identification.
• Develop and evaluate machine learning and statistical models for detecting distributed energy resources from consumption patterns.
• Assess model performance limitations and uncertainty.
• Provide recommendations for future implementation and research.

Qualifications :

We are looking for 1 student who are about to complete their academic studies and are eager to apply their knowledge in a real-world setting through a thesis project at Vattenfall. You are someone who shares our values and identifies with our principles: Active Open Positive and Safety. 

• Currently enrolled in a Masters programme in Data Science Machine Learning Statistics Applied Mathematics Computer Science Engineering Physics Energy Systems or a related quantitative field.
• Proficiency in English
• Knowledge of statistical modelling and machine learning.
• Experience with Python and commonly used data science libraries.
• Experience with time-series analysis and predictive modelling.
• Interest in energy systems electrification and the energy transition.
• Masters thesis 30 ECTS credits.

Additional Information :

• Start date:or by agreement.
• Location: Solna
• Application Submit a single file containing your CV and a copy of your academic transcripts. Please note that only one file can be uploaded with your application so it is important that all required information is combined into the same document.
• Application deadline:.
• Contact person and supervisor at Vattenfall: Supervisor: Sara Rodríguez

Diversity and Inclusion In Everything We Do 

At Vattenfall we value being Active Positive Open and Safety-conscious. We are looking for employees who share our vision and can contribute to strengthening our company culture. We believe that diversity helps build a more successful and attractive company and we strive to be role models in diversity and inclusion. Vattenfall actively works to ensure that all employees have equal opportunities and rights regardless of age ethnic or cultural background gender identity religion or belief sexual orientation or disability. Read more about how we work with diversity and inclusion here. 

Vattenfall is part of Swedens critical infrastructure and many of our positions are therefore classified from a security perspective. If this position is security-classified a security screening will be conducted prior to employment in accordance with the Swedish Security Protection Act. 

Remote Work :

No

Employment Type :

Contract