POWER SYSTEMS - DISTRIBUTED ENERGY RESOURCES

Work description

1) Development of workflows to complement data sets from connected data spaces, to improve data analytics outcomes (forecasts, financial tool analysis, predictive maintenance and operation optimization)

2) Performing analysis on storage related models and development of forecast models to show against a baseline, the improvement of the assessed tools when integrating third party data (from connected data spaces).

3) Validate the developed methodologies on real data and real demonstration sites, in particular the existing use cases part of the InterStore project.

4) Dissemination of the work in international journals and/or conferences

Minimum profile required

• Academic background in electrical engineering, computer science, mathematics, industrial engineering or similar (PhD student or finished Masters)
• Programming knowledge in Python
• Fluent in English

Preference factors

• Past experience (or academic background) with energy data analytics;
• Experience with simulation techniques that model the behavior of individual agents (organizations or people), and their interactions in a system;
• Academic background experience and research oriented

Application Period

Since 09 May 2024 to 09 Jun 2024

Centre

Power and Energy Systems

Scientific Advisor

Alexandre Lucas

• Multicultural and collaborative environment
• A multicultural, international and collaborative environment that makes it easier to exchange ideas, work in networks and create synergies.
• International projects
• The possibility of working in international projects with some of the most important companies in the field.
• Mentoring
• Mentoring with the best researchers in the fields of electrical and industrial engineering, bioengineering, information technology and physics.
• Self Improvement
• The possibility of participating in international conferences, workshops, seminars and vocational training.
• Other Benefits and Perks
• Flexible working time, health insurance, discounts in hotels, transportation, etc.
• Informal Events
• Annual informal events, such as the multicultural party.