Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

In practice, faults in building installations are seldom noticed because automated systems to diagnose such faults are not common use, despite many proposed methods: they are cumbersome to apply and not matching the way of thinking of HVAC engineers. Additionally, fault diagnosis and energy performance …

Symposium Agentschap Telecom. Deelname aan paneldiscussie.

Toelichting op het rapport Opgave AI van de Wetenschappelijke Raad voor het Regeringsbeleid (WRR).

The Heating Ventilation and Air Conditioning (HVAC) sector is responsible for a large part of the total worldwide energy consumption, a significant part of which is caused by incorrect operation of controls and maintenance. HVAC systems are becoming increasingly complex, especially due to multi-commodity …

Beschouwing van mogelijkheden en onmogelijkheden bij de inzet van simulaties om AI-modellen te trainen.

Lectorale redeboekje naar aanleiding van de intrede in het lectoraat Systeemintegratie in de energietransitie

De nieuwe EU regels voor het gebruik van AI toegelicht voor MKB.

The sustainable energy transition asks for new and innovative solutions in the way society, government, energy market and clients (end users) approach energy distribution and consumption. The energy transition provides great opportunity to develop innovative solutions where in the dense built environment …

Positive Energy Districts (PEDs) have the potential of accelerating the decarbonization of urban areas and promoting scalability between cities. The development and real-world implementation of such innovative concepts can be enhanced through urban energy modelling. However, assessing PEDs can be challenging, …