TY - GEN
T1 - Session summaries from: Study circle on The Use of Data in The Built Environment – Challenges and opportunities
AU - Andersen, Kamilla Heimar
AU - Leiria, Daniel
AU - Schaffer, Markus
AU - Melgaard, Simon Pommerencke
AU - Marszal-Pomianowska, Anna
PY - 2023/3/18
Y1 - 2023/3/18
N2 - This study circle outlines ten learning goals from a series of sessions to enhance the participants' knowledge in utilizing smart meter data, initial data treatment, neural networks, occupant detection, occupant-centric building control, fault detection and diagnosis (FDD), and IoT, in the building sector. The ten individual sessions aimed to provide insights into the challenges and opportunities in utilizing smart meter data and exploring the potential of occupant-centric building control. The sessions also delve into FDD in district heating networks and building systems, the practical challenges of identifying occupant preferences from behavior monitoring, and the industry's perspective on data application in the building sector. Participants have gained knowledge of these topics' practical challenges and opportunities and explored potential synergies with their respective Ph.D. projects.
AB - This study circle outlines ten learning goals from a series of sessions to enhance the participants' knowledge in utilizing smart meter data, initial data treatment, neural networks, occupant detection, occupant-centric building control, fault detection and diagnosis (FDD), and IoT, in the building sector. The ten individual sessions aimed to provide insights into the challenges and opportunities in utilizing smart meter data and exploring the potential of occupant-centric building control. The sessions also delve into FDD in district heating networks and building systems, the practical challenges of identifying occupant preferences from behavior monitoring, and the industry's perspective on data application in the building sector. Participants have gained knowledge of these topics' practical challenges and opportunities and explored potential synergies with their respective Ph.D. projects.
KW - built environment
KW - phd study circle
KW - energy use in buildings
KW - occupant behavior
KW - occupant detection
KW - data in the district heating sector
KW - data cleaning and prosessing
KW - fault detection and diagnosis
KW - the use of ai in the industry
M3 - Other contribution
ER -
