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 …
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 …
Harmonizing sustainability in industry 5.0 era: Transformative strategies for cleaner production and sustainable competitive advantage
At the forefront of the Industry 5.0 era, manufacturing firms in develo** economies like
India, are uniquely positioned. They face the dual challenge and opportunity of integrating …
India, are uniquely positioned. They face the dual challenge and opportunity of integrating …
Renewable energy supply chain in Malaysia: Fostering energy management practices and ecological performance
The trade-off between environmental issues and economic outcomes has challenged
manufacturing firms to manage the renewable energy supply chain (RESC). The Malaysian …
manufacturing firms to manage the renewable energy supply chain (RESC). The Malaysian …
[HTML][HTML] The potential challenges and limitations of implementing modern office design features in residential spaces: A SPAR-4-SLR approach
The COVID-19 pandemic has significantly altered how people work, with an increasing
number transitioning to working from home (WFH). This paradigm shift has raised various …
number transitioning to working from home (WFH). This paradigm shift has raised various …
[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 …
Design and implementation of a cloud-IoT-based home energy management system
The advances in the Internet of Things (IoT) and cloud computing opened new opportunities
for develo** various smart grid applications and services. The rapidly increasing adoption …
for develo** various smart grid applications and services. The rapidly increasing adoption …
[HTML][HTML] Design and development of an IoT smart meter with load control for home energy management systems
Electricity consumption is rising due to population growth, climate change, urbanization, and
the increasing use of electronic devices. The trend of the Internet of Things has contributed …
the increasing use of electronic devices. The trend of the Internet of Things has contributed …
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 …