Welcome

The summer school in Energy Informatics 2024 is designed to empower doctoral and master students, along with professionals in the energy sector, to develop advanced skills in understanding and managing the impacts of natural disasters and grid disturbances on energy systems. The program particularly focuses on leveraging data acquisition, visualization, advanced data analytics, and modeling techniques to analyze patterns, assess impacts, and develop resilience strategies.

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The main part of the summer school content is derived from the knowledge gained and developed through the Microgrid Technologies for Remote Indonesian Islands (Tech-In) Project funded by Danida, ensuring participants receive cutting-edge insights and methodologies directly applicable to real-world scenarios.

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The summer school is organized in cooperation with Energy Informatics.Academy Conference 2024 (EI.A 2024) (21-22 October 2024). 

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Key Topics of the 2024 Summer School:​

1. Introduction to the Energy System and Challenges in Indonesia: Understand the specific energy challenges faced by Indonesia and the importance of resilient energy systems in this context.

2. Introduction to Microgrids and Microgrid Resilience: Learn the fundamentals of microgrids and the importance of their resilience against natural disasters.

3. Data Acquisition and Management: Master techniques for collecting and managing data from energy systems, including the use of meters and sensors, and cloud-based data storage solutions.

4. Data Visualization: Gain proficiency in using tools like Grafana to visualize energy data and monitor system performance effectively.

5. Advanced Data Analytics: Develop skills in advanced data analytics, including clustering algorithms, to identify patterns and anomalies in energy systems.

6. Tools and Software for Resilience Investigation: Get introduced to state-of-the-art tools and software used for resilience investigation in energy systems.

7. Scenario Modeling and Simulation: Learn to apply Monte Carlo simulations and Markov Chain modeling to evaluate various disaster scenarios and their impacts on energy systems.

8. Developing Resilience Strategies: Explore and design strategies to enhance the resilience of energy infrastructures, drawing on case studies and expert insights.

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Program Highlights:​

• Expert-led Lectures: Gain insights from domain experts on the complexities of energy systems, their vulnerabilities, and resilience strategies.

• Hands-on Exercises: Engage in practical sessions using real-world data sets to understand data processing, visualization, and advanced analytics techniques.

• Case Studies and Group Discussions: Analyze case studies of past natural disasters and participate in discussions on innovative solutions and resilience strategies.​​

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Duration and Structure:​

• A two-day intensive module covering data acquisition, management, visualization, advanced analytics, and resilience strategy development.

• Interactive sessions focusing on practical applications and case study analyses.

ECTs:

The program, with a scope of 2 ECTS credits, is designed to enhance the academic and professional development of PhD researchers.

Participants will receive a certificate of participation upon successful completion of the program.

Prerequisites:

• Basic knowledge of energy systems.

• Basic understanding of Python programming language.

By the end of this summer school, participants will acquire a profound understanding of how data acquisition, visualization, advanced analytics, and modeling techniques can be effectively utilized to analyze and mitigate the impacts of natural disasters on energy systems, thereby contributing to the development of more resilient energy infrastructures.

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