THE PROJECT PARTICIPATES IN THE BOOK "MIRACLE IN WOOD"

The project, through our project manager Karl Andersson, has been interviewed in the book "Miracle in Wood," focusing on energy efficiency. The author, Anders Steinvall, has also written "The Battery Factory," where he describes how Northvolt chose to establish its large battery factory in Skellefteå. The book provides an in-depth account behind the decision to invest in a new cultural center to the almost unbelievable international success that the building has achieved.

MEET US AT ADVANCED DIGITALIZATION

Date: January 23, 2025

Time: 09:30 - 17:30
Location: World of Volvo, Gothenburg

The project will be presented during the conference, which focuses on industry needs and how we can collectively accelerate digital and sustainable development. Please feel free to contact us, and we will arrange a meeting!

EXTRACTING KNOWLEDGE FROM TECHNICAL PROJECTS USING THE TRIPLE-LOOP MODEL

As part of the project, we are working together to digitise a city district with the aim of improving energy efficiency and finding new ways to reduce CO2 emissions.
While we are digitising buildings by installing energy metres and visualising energy data, we also have the opportunity to measure power quality. Power quality indicates how much power is wasted in the electrical system, which can often be as high as 8%. If we analyse where and how these losses occur, we can eliminate them. To achieve this, better electricity metres and effective analysis tools are needed.

EXPLAINABLE SYSTEM FOR BETTER ENERGY PREDICTIONS

On June 20, 2024, Sami Kabir presented his licentiate thesis, "A Novel Explainable Belief Rule-Based Prediction Framework under Uncertainty" at a seminar on the Skellefteå campus. The thesis, which is part of the Digital Urban Development project, focuses on improving energy predictions for buildings.

Traditional machine learning models, despite their high precision, often lack explainability, making it difficult for users to trust the results. To address this issue, Kabir proposes an explainable expert system based on domain knowledge, which not only enhances prediction accuracy but also handles uncertainties in data.

A case study conducted at the Skellefteå campus demonstrates that this new framework outperforms existing machine learning algorithms by offering a better balance between explainability and accuracy, which is crucial for building trust in AI in critical applications.

PUBLICATION UPDATE

We are excited to share the paper, "An Advanced Explainable Belief Rule-Based Framework to Predict the Energy Consumption of Buildings," was published in the MDPI Energies journal on April 9, 2024.

The paper presents an advanced explainable Belief Rule-Based Expert System (eBRBES) for accurately predicting building energy consumption. It factors in elements like floor area, daylight, indoor occupancy, and heating method (district or electric). The eBRBES framework optimizes its parameters and structure to improve accuracy while handling data uncertainties. The paper also proposes a novel Belief Rule-Based adaptive Balance Determination (BRBaBD) algorithm to achieve an optimal balance between explainability and accuracy. Using data from Skellefteå Kraft, the framework was validated and found to outperform state-of-the-art machine learning algorithms by 85.08% in balancing explainability and accuracy.

Looking forward, we plan to integrate semi-supervised learning with BRBES to enhance performance with unlabeled data and explore new metrics for evaluating explainability and counterfactuals in XAI models.


DEMO NORTH SUMMIT

14-16 May 2024, Luleå
The project will participate in a co-organised stand during the Demo North Summit, a platform that brings together actors working on developing innovations for large-scale solutions and helping to improve opportunities for environmental challenges.

ARCTIC CHALLENGE HACKATHON

Welcome to the Arctic Challenge Hackathon 2023! From Monday 27 November to Wednesday 29 November, LTU Master's students will work together on challenges in the areas of 5G, digital twins and more. We also invite other students to participate at Skellefteå Campus.

ADVANCED DIGITALIZATION AMBASSADOR OF THE YEAR 2023

At Vinnova's Mötesplats Advanced Digitization 2023, the "Ambassador of the Year Award for Advanced Digitization" was presented to our project manager, Karl Andersson. Karl would like to express his gratitude to all partners and collaborators who have contributed to the success of our projects.

PRESENTATION

We invite you to watch a recorded webinar where the project and its partners talk about their work.

Click on the YouTube video on the right.

WELCOME TO THE WEBINAR

March 22, 2023, at 13.00-13.40
The project participates during Sweden Innovation Days with a webinar where we present our work. The global event Sweden Innovation Days lasts for three days and focuses full attention on how we can enable innovation that has a significant impact on society, the environment and the economy.

Thanks for attending the hackathon

Thank you to everyone who participated during the Arctic Challenge Hackathon! Over three days, students, researchers and developers solved business problems in IoT, Edge computing, 5G and information security.

Arctic Challenge Hackathon

Arctic Challenge is a one-of-a-kind Hackathon focusing on IoT, LoRa, Edge computing, 5G and Information security.
From Tuesday November 22nd after lunch to Thursday at lunchtime November 24th Master students at LTU collaborate, and experiment. We also invite other students either on site or online.

FILM ABOUT THE PROJECT

Watch a short film about the project where professor and project leader Karl Andersson talks about the purpose of the work. 

NEW HOUSE IN SKELLEFTEÅ GETS ENERGY FROM NEIGHBORING BUILDINGS

The new building planned for Campus Skellefteå by the Skellefteälven will have a unique energy solution. It will be supplied by the energy from the buildings next door. "It's about moving energy both in terms of time and place," says the project leader, Professor Karl Andersson.

PROJECT CREATE UNIQUE ENERGY SOLUTIONS

Vinnova has granted the project "Digital city development - Campus Skellefteå" where Luleå University of Technology collaborates with ABB, Skellefteå Kraft and Skellefteå Municipality. In the project, an energy management system will be built to take on the challenge of moving power needs in time and space in a geographical location and thus use the infrastructure more efficiently and more resource-efficiently.