hedge-iot

Building Smarter: Designing Dashboards for Energy Management

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[This post is based on Givannah Noor‘s Master Information Science Thesis]
Dashboards are essential for data-driven decisions, but effective design, especially for smart building and energy management, is often overlooked. Givannah Noor’s thesis, “Brick by Brick: A Human-Centered Approach to Effective Dashboard Design for Smart Building and Energy Management,” tackles this gap head-on.

At Arnhems Buiten, an IoT pilot site and part of the HEDGE-IoT project, a specialized dashboard was developed to monitor various devices. Givannah took a human-centered approach, conducting stakeholder interviews to uncover pain points and key needs. These insights informed the development of a high-fidelity prototype. To that end, she conducted several interviews with stakeholders, developed personas, scenarios and prototypes.

The overview page in the hi-fi prototype
The insights page in the hi-fi prototype

The prototype was then evaluated with stakeholders using a think-aloud technique. The findings revealed that effective dashboard design goes beyond typical UI/UX principles, emphasizing the crucial role of storytelling and designing for predictive analytics. This research offers valuable insights for creating dashboards that truly meet the complex needs of smart building and energy management, and improve how we visualize future trends.

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Unlocking the Future: how unified IoT Communication transforms Smart Device Data into valuable information – The OfficeGraph resource

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Unlocking the Future: how unified IoT Communication transforms Smart Device Data into valuable information – The OfficeGraph resource
As VU participants in the HEDGE-IoT project, we wrote a blog post detailing the OfficeGraph knowledge graph. You can ready it on the project website.

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HEDGE-IoT project kickoff

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The HorizonEurope project HEDGE-IoT started January 2024. The 3.5 year project will build on existing technology to develop a Holistic Approach towards Empowerment of the DiGitalization of the Energy Ecosystem through adoption of IoT solutions. For VU, this project allows us to continue with the research and development initiated in the InterConnect project on data interoperability and explainable machine learning for smart buildings.

Researchers from the User-Centric Data Science group will participate in the project mostly in the context of the Dutch pilot, which will run in Arnhems Buiten, the former testing location of KEMA in the east of the Netherlands. In the pilot, we will collaborate closely with the other Dutch partners: TNO and Arnhems Buiten. At this site, an innovative business park is being realized that has its own power grid architecture, allowing for exchange of data and energy, opening the possibility for various AI-driven services for end-users.

VU will research a) how such data can be made interoperable and enriched with external information and knowledge and b) how such data can be made accessible to services and end-users through data dashboards that include explainable AI.

The image above shows the Arnhems Buiten buildings and the energy grid (source: Arnhems Buiten)

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