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Summer School in Energy Informatics 2025
Harnessing IoT and Cloud Computing for Intelligent Buildings  
1-2 December 2025,
Universiti Tenaga Nasional (UNITEN), Kuala Lumpur, Malaysia

Welcome

​The Summer School in Energy Informatics 2025 is designed to empower doctoral, Post-Doc, and master students, as well as professionals in the energy and building sectors, with advanced skills in using IoT and cloud computing technologies. This program emphasizes the integration of indoor climate data, outdoor weather data, and energy consumption data to create a foundation for energy informatics in intelligent buildings and beyond.

 

The Summer School focuses on building software systems that collect, store, integrate, and visualize data to support decision-making for energy optimization and sustainability. Through hands-on sessions, participants will explore IoT systems, data pipelines, cloud-based storage, and real-time visualization frameworks, gaining expertise in tools like Python, MQTT, InfluxDB, and Grafana. 

 

The summer school is organized in cooperation with Energy Informatics.Academy Conference 2025 (EI.A 2025), 3-5 December 2025, Universiti Tenaga Nasional (UNITEN), Kuala Lumpur, Malaysia.

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This program offers participants a focused and practical understanding of IoT and cloud computing technologies. By combining hands-on experience and expert insights, participants will learn how to collect, store, and analyze energy-related data to create actionable solutions for optimizing intelligent building systems and advancing sustainable energy practices.

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Key Topics

Key Topics of the Summer School without any text on the image..jpg

1

Setting up IoT-enabled devices and sensors

Understand the essentials of deploying and configuring IoT devices for data acquisition.

2

Acquiring and ingesting data using modern communication protocols

Learn techniques to transfer data reliably using protocols like MQTT.

3

Storing and querying energy data in a time-series database

Utilize InfluxDB to store, manage, and query energy-related data effectively.

4

Creating dynamic dashboards to visualize energy trends

Build real-time visualizations and dashboards using Grafana for insightful data analysis.

Program Highlights

Expert-Led Lectures

Learn from domain experts in IoT, cloud computing, and intelligent buildings.

Hands-On Exercises

Practical sessions for implementing IoT pipelines, integrating data from diverse sources, leveraging cloud computing for scalable storage and processing, and visualizing real-world data

Case Studies

Analyze examples of IoT-enabled energy optimization in intelligent buildings using data from the UNITEN - IoT & AI Smart Building Living Lab.

Learning Outcomes

By the end of the Summer School in Energy Informatics 2025, participants will be able to:

01

Configure and deploy IoT-enabled devices and sensors for data collection in energy systems.

02

Utilize modern communication protocols, such as MQTT, to acquire and ingest energy data.

03

Implement and manage time-series databases (InfluxDB) for storing, querying, and analyzing energy data.

04

Design and create dynamic dashboards using Grafana to visualize trends, consumption patterns, and anomalies in energy data.

05

Develop an end-to-end IoT pipeline that integrates data from multiple sources and applies advanced visualization and analysis techniques.

06

Apply energy informatics principles to optimize building energy consumption and contribute to intelligent building systems.

Program Duration, Credits, Certification

The Summer School in Energy Informatics 2025 is a focused two-day program offering an intensive learning experience. With a scope of 2 ECTS credits, it is designed to enhance the academic and professional development of PhD researchers, master's students, and professionals in the energy sector.

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Participants who successfully complete the program will be awarded a Certificate of Participation, recognizing their newly acquired expertise in IoT and cloud computing technologies for energy informatics.

Prerequisites

Participants should have the following prior knowledge and tools to fully benefit from the program:

Basic knowledge of energy systems.

Basic understanding of Python programming language.

Code editor or IDE

We provide best support for JetBrains products or VSCode

Application and Admission Process

The Summer School has a limited capacity of 30 participants to ensure a highly focused and interactive learning environment. Applicants are required to submit an application outlining the following:

Lined Up Books

Research Background

A summary of their academic and/or professional experiences relevant to energy systems, IoT, cloud computing, or intelligent buildings.

In-Hand Camera

Current Research/Professional Focus

A description of their current research projects or professional responsibilities related to the key topics of the Summer School.

Track

Motivation for Participation

A statement detailing why they wish to attend the Summer School, how it aligns with their academic or professional goals, and how the program will enhance their knowledge or competence in energy informatics.

Applications will be reviewed based on the alignment of the applicant’s background and interests with the program’s objectives and their potential to apply the knowledge gained to their future work.

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Successful applicants will receive a notification via email with further details about the program.

School Supplies

Application Template

Applicants are encouraged to use the following template

Summer School Organizing Committee

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Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark

Benjamin Eichler StaugaardUniversity of Southern Denmark, Denmark

Simon Soele Madsen, University of Southern Denmark, Denmark

Saraswathy Shamini  GunasekaranUniversiti Tenaga Nasional (UNITEN), Malaysia

Zheng Grace Ma, University of Southern Denmark, Denmark

 

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