Control and optimisation of power grids using smart meter data: A review
This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …
control and optimisation of power grids to support a smooth energy transition towards the …
Exploring the benefits and limitations of digital twin technology in building energy
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …
sustainable energy management is crucial for all buildings, and controlling energy …
Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings
Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …
energy consumption of plug loads in commercial buildings through different load monitoring …
Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …
data to support various building applications, including adaptive HVAC and lighting controls …
A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with …
The increasing effects of global warming and energy depletion have raised concerns about
the pollution caused by traditional oil and fossil energy usage. Distributed energy resources …
the pollution caused by traditional oil and fossil energy usage. Distributed energy resources …
[HTML][HTML] A hybrid active learning framework for personal thermal comfort models
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …
responses to inform design and control decisions of buildings to achieve optimal …
An end-to-end point of interest (POI) conflation framework
Point of interest (POI) data serves as a valuable source of semantic information for places of
interest and has many geospatial applications in real estate, transportation, and urban …
interest and has many geospatial applications in real estate, transportation, and urban …
User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications
Smart energy management systems equipped with advanced sensing and Internet of Things
technologies allow users to monitor and manage their energy consumption through different …
technologies allow users to monitor and manage their energy consumption through different …
A non-intrusive load monitoring method based on feature fusion and SE-ResNet
T Chen, H Qin, X Li, W Wan, W Yan - Electronics, 2023 - mdpi.com
In the study of non-intrusive load monitoring, using a single feature for identification can lead
to insignificant differentiation of similar loads; however, multi-feature fusion can pool the …
to insignificant differentiation of similar loads; however, multi-feature fusion can pool the …
ROBOD, room-level occupancy and building operation dataset
The availability of the building's operation data and occupancy information has been crucial
to support the evaluation of existing models and development of new data-driven …
to support the evaluation of existing models and development of new data-driven …