Nordic Energy Informatics Academy Summer School 2026
on
Energy Community and Distributed Energy Resources
31 August-1 September 2026, University of Iceland, Reykjavik, Iceland


This two-day summer school offers an intensive exploration of energy communities and distributed energy resources. The program equips participants with conceptual frameworks, digital tools, and analytical methods to understand and design community-scale energy systems, with a particular emphasis on multi-energy systems, district heating, and ecosystem-level coordination.
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Through a combination of hands-on workshops and expert-led lectures, participants will gain practical skills in energy system simulation, data analytics, and community-based sustainable energy planning.​
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Open Participation
The EIA Nordic Summer School 2026 is open to PhD candidates, researchers, and professionals from all universities and organizations worldwide who are interested in the digital transformation of energy systems.
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Target Audience
The summer school is primarily intended for:
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PhD students in energy systems, energy informatics, smart grids, and related fields
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Early-career researchers and postdoctoral fellows
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Selected industry and public-sector professionals with relevant backgrounds
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Registration Fee
The registration fees below apply to participation in the two-day Nordic Summer School in Energy Informatics 2026. All fees include access to academic sessions, course materials, and catering during the program.
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​Summer School Registration Categories and Fees​
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What the Registration Fee Includes
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Access to all Summer School lectures, workshops, and interactive sessions
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Official Summer School materials
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Catering during the two-day program (morning and afternoon tea, and lunch each day)
Important Notes
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Nordic scholars refer to participants affiliated with universities or research institutions in Nordic countries.
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The fee waiver for Nordic scholars applies only to the Summer School and does not cover travel or accommodation.
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Admission to the Summer School is required prior to registration.
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Fully Sponsored Participation for Nordic scholars
Thanks to generous sponsorship from Nordic Energy Research, the registration fee is fully covered for all admitted scholars from Nordic universities.
Participants are responsible for their own travel and accommodation arrangements.
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The summer school is organized in cooperation with Nordic Energy Informatics.Academy Conference 2026 (2-4 September 2026).
Important Dates
25 May 2026
Application deadline
22 June 2026
Registration Deadline
1 June 2026
Notification Deadline
Key Topics
01
Energy Communities and Distributed Energy Resources
Concepts, structures, and roles of energy communities and distributed energy resources within the Icelandic energy system and community energy context.
04
Semantic Modeling of Energy Systems
Semantic modeling approaches for representing buildings and community energy systems and enabling interoperable, structured system analysis.
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Business Models and Technology Adoption
Business models for district heating-based energy communities, including technology adoption pathways and ecosystem reconfiguration challenges.
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Energy Community Ecosystem Architecture and Actor Mapping
Structure of energy community ecosystems, including actor mapping and analysis of roles, relationships, and coordination challenges within energy communities.
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Data-Driven Thermal Energy Storage Modeling
Use of data-driven methods to model, analyze, and evaluate thermal energy storage and its role in community-scale energy systems..
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Industrial and Community Case Studies
Nordic examples demonstrating data-driven approaches to local energy management and community-scale optimization.
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CSTEP-Based Ecosystem Impact Analysis
Application of CSTEP-based methods to assess technological, economic, and societal impacts of distributed energy resources in energy community ecosystems.
06
Co-Simulation of Multi-Energy Community Systems
Co-simulation techniques for integrated analysis of electrical and thermal subsystems and distributed energy resources at community scale.
Learning Outcome
By the end of this summer school, participants will be able to:
Understand Energy Community Concepts
Explain the structural characteristics of Iceland’s energy system and analyze their implications for the design and operation of energy communities with distributed energy resources.
Integrate Data Analytics in Energy Systems
Analyze thermal energy storage and distributed energy resources using data-driven methods to support system understanding, performance assessment, and community-scale decision-making.
Map and Analyze Energy Community Ecosystems
Construct ecosystem maps for Icelandic energy communities and apply ecosystem impact analysis to identify opportunities, constraints, and coordination challenges for DER deployment.
Explore Nordic Case Studies and Applications
Understand practical implementations of energy communities and distributed energy systems across Nordic contexts.
Use Digital Modeling and Co-Simulation Methods
Represent buildings and community energy systems using semantic, data-driven, and co-simulation approaches to analyze multi-energy systems and DER integration.
Design Integrated Business Models for Energy Communities
Develop and assess business models for district heating–based energy communities, integrating technical, ecosystem, and adoption perspectives into a coherent system concept.
ECTS Credits
This program offers 2 ECTS credits and is designed to enhance the academic and professional development of PhD researchers. Participants who actively engage in the program and successfully complete the group work will receive an official certificate of participation.
Prerequisites
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Basic understanding of energy systems, or renewable energy integration.
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An interest in interdisciplinary and system-level analysis.
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Advanced programming or modeling skills are not required, though familiarity with data analytics, modeling tools, or energy market concepts is an advantage.
Summer School Organizing Committee
Prof. Dr. Rúnar Unnþórsson, University of Iceland, Iceland
Prof. Dr. Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark
Prof. Dr. Zheng Grace Ma, University of Southern Denmark, Denmark
Adj. Prof. Kristina Lygnerud, Lund University, Sweden
Dr. Qian Wang, KTH Royal Institute of Technology, Sweden
Asst. Prof. Kristoffer Christensen, University of Southern Denmark, Denmark
Ms. Signe Rude Madsen, University of Southern Denmark, Denmark
