Critical review and research roadmap of office building energy management based on occupancy monitoring
Buildings are responsible for a large portion of global energy consumption. Therefore, a
detailed investigation towards a more effective energy performance of buildings is needed …
detailed investigation towards a more effective energy performance of buildings is needed …
Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization
Abstract The usage of Building Automation Systems (BAS) and Energy Management
Systems (EMS) is indeed becoming ever more common and sophisticated, and seeking to …
Systems (EMS) is indeed becoming ever more common and sophisticated, and seeking to …
From sensor networks to internet of things. Bluetooth low energy, a standard for this evolution
Current sensor networks need to be improved and updated to satisfy new essential
requirements of the Internet of Things, where cutting-edge applications will appear. These …
requirements of the Internet of Things, where cutting-edge applications will appear. These …
Using semantic web technologies to access soft AEC data
Building related data tends to be generated, used and retained in a domain-specific manner.
The lack of interoperability between data domains in the architecture, engineering and …
The lack of interoperability between data domains in the architecture, engineering and …
An experimental testbed for smart cities applications
The concept of Smart Cities has recently attracted considerable attention. The basic idea
about making a city as smart is to use communication technology to optimize a city's …
about making a city as smart is to use communication technology to optimize a city's …
Detection of atmospheric methyl mercaptan using wavelength modulation spectroscopy with multicomponent spectral fitting
Detection of methyl mercaptan (CH3SH) is essential for environmental atmosphere
assessment and exhaled-breath analysis. This paper presents a sensitive CH3SH sensor …
assessment and exhaled-breath analysis. This paper presents a sensitive CH3SH sensor …
An Intelligent Environment Application Case to Manage Comfort Preferences, at an University Residence
PF Oliveira, P Matos - Science and Information Conference, 2024 - Springer
This paper presents a novel application of intelligent environmental management within a
university residence, aiming to enhance the overall well-being and satisfaction of residents …
university residence, aiming to enhance the overall well-being and satisfaction of residents …
A Novel Optimized Variant of Machine Learning Algorithm for Accurate Energy Demand Prediction for Tetouan City, Morocco
N RoSe, O Osbourne, N Williams… - … e-Conference on …, 2023 - atlantis-press.com
Abstract Machine learning (ML) algorithms are an essential component of intelligent energy
management systems. In the year 2021, a benchmark dataset of the power consumption of …
management systems. In the year 2021, a benchmark dataset of the power consumption of …
Smart spaces: aware of users, preferences, behaviours and habits, in a non-invasive approach
PFF Oliveira - 2023 - search.proquest.com
In a new era of technological development, in which users increasingly value quality of life,
whether from the perspective of comfort or from the perspective of not having unnecessary …
whether from the perspective of comfort or from the perspective of not having unnecessary …
[PDF][PDF] Can indoor RSS localization with 802.15. 4 sensors be viable
P Kulakowski, F Royo-Sanchez… - 2nd COST IC1004 …, 2011 - kt.agh.edu.pl
Indoor localisation techniques based on receive signal strength (RSS) level are commonly
considered to be unreliable and inaccurate mainly because of the phenomena of multipath …
considered to be unreliable and inaccurate mainly because of the phenomena of multipath …