[HTML][HTML] Enhancing climate resilience in buildings using Collective Intelligence: A pilot study on a Norwegian elderly care center

M Hosseini, S Erba, P Hajialigol, M Aghaei… - Energy and …, 2024 - Elsevier
The combined challenge of climate change and population aging requires novel solutions
that enhance the resilience of building energy systems and secure indoor comfort for …

Empowering smart cities with digital twins of buildings: Applications and implementation considerations of data-driven energy modelling in building management

M Elnour, AM Ahmad, S Abdelkarim… - Building Services …, 2024 - journals.sagepub.com
Smart buildings and cities are rapidly emerging as solutions to address the challenges of
efficiency, urbanisation, and sustainability in the sector. The study proposes deploying data …

Comfort-aware Optimal Space Planning in Shared Workspaces

T Zhang, O Ardakanian - Proceedings of the 15th ACM International …, 2024 - dl.acm.org
Energy consumption in office buildings, especially in shared office spaces, can be
substantially reduced through joint optimization of space use and heating and cooling …

Deep Reinforcement Learning Based HVAC Optimization Control Algorithm Application

L Zeng, J Cen, X Liu, Y Wu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
To address the shortcomings of Heating, Ventilation, and Air Conditioning systems (HVAC)
with low energy efficiency, this paper introduces the application and effectiveness of deep …

HVAC-DPT: A Decision Pretrained Transformer for HVAC Control

A Berkes - arXiv preprint arXiv:2411.19746, 2024 - arxiv.org
Building operations consume approximately 40% of global energy, with Heating, Ventilation,
and Air Conditioning (HVAC) systems responsible for up to 50% of this consumption. As …

Data-Enabled Optimization of Building Operations

T Zhang - 2024 - era.library.ualberta.ca
Retrofitting buildings and optimizing their operation have been at the forefront of global
efforts to reduce carbon emissions over the past few decades. Intelligent control of building …

Digital Twin and Smart Automation for Bitumen Extraction Process

J Soesanto - 2024 - era.library.ualberta.ca
The advent of Industry 4.0 integrates advanced digital technologies and Artificial Intelligence
(AI) into system engineering. This research explores the potential of AI in smart automation …

Policy Selection for Transfer Learning in the Building Control Domain

A Krishna Guruvayur Sasikumar - 2023 - era.library.ualberta.ca
The application of reinforcement learning (RL) to the optimal control of building systems has
gained traction in recent years as it can reduce building energy consumption and improve …