Let op: dit webinar is in het engels. Hieronder de engelse beschrijving van het webinar.

In order to develop AFDD algorithms, there is a need to generate a high-quality dataset for their training. In this webinar, the steps followed to obtain this dataset through fault experiments is explained through the following sections:

1. Preparation: This section will cover topics such as re-commissioning, installing additional sensors, selection of faults and their severity setting
2. Fault experiments: Implementation of the faults, sensor data collection through BMS, collection of occupant feedback
3. Data exploration
4. Looking ahead: Shortcomings and future plans

Speakers: Karzan Mohammed and Srinivasan Gopalan. Karzan and Srinivasan are PhD candidates at Eindhoven University of Technolog, department of Built Environment.

Brains 4 Buildings

Brains 4 Buildings is a multi-year, multi-stakeholder program focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and save on installation maintenance costs. This will be done through the development of faster and more efficient Machine Learning and Artificial Intelligence models and algorithms. The project is geared to utility buildings such as commercial and institutional buildings.

Meer informatie

Kijk voor meer informatie over het webinar op de website van Brains 4 Buildings.

Klik hier voor meer informatie over de samenwerking tussen Brains 4 Buildings en DGBC