Residential demand response strategies and applications in active distribution network management
Electricity distribution is moving towards active, more flexible, smarter and decentralized
energy systems. This transition requires System Operators (SO) to dynamically monitor and …
energy systems. This transition requires System Operators (SO) to dynamically monitor and …
Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
Review of smart meter data analytics: Applications, methodologies, and challenges
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Deep domain adaptation for non-intrusive load monitoring based on a knowledge transfer learning network
Understanding customers' energy consumption at the individual appliances level is crucial
for the planning and implementation of demand response (DR) programs. The appliances' …
for the planning and implementation of demand response (DR) programs. The appliances' …
Smart distribution system management considering electrical and thermal demand response of energy hubs
Employing active elements such as energy hubs in energy management of distribution grid
requires smart management strategies. In this paper, a demand response strategy for …
requires smart management strategies. In this paper, a demand response strategy for …
Data-driven resource planning for virtual power plant integrating demand response customer selection and storage
H Liang, J Ma - IEEE transactions on industrial informatics, 2021 - ieeexplore.ieee.org
Battery energy storage (BES) and demand response (DR) are two important resources to
increase the operational flexibility of a virtual power plant (VPP) and thus reduce the …
increase the operational flexibility of a virtual power plant (VPP) and thus reduce the …
[書籍][B] Smart Grid Sensors: Principles and Applications
H Mohsenian-Rad - 2022 - books.google.com
Discover the ever-growing field of smart grid sensors, covering traditional and state-of-the-
art sensor technologies, as well as data-driven and intelligent methods for using sensor …
art sensor technologies, as well as data-driven and intelligent methods for using sensor …
Optimal management of multi-stakeholder distributed energy systems in low-carbon communities considering demand response resources and carbon tax
L Li, S Yu - Sustainable Cities and Society, 2020 - Elsevier
As the climate is rapidly changing, the need for carbon emissions reduction in sustainable
cities and communities has increased. To facilitate the development of low-carbon …
cities and communities has increased. To facilitate the development of low-carbon …
Predicting winners and losers under time-of-use tariffs using smart meter data
Y Kiguchi, M Weeks, R Arakawa - Energy, 2021 - Elsevier
Time-of-use electricity tariffs may become more widespread as smart meters are installed
across deregulated domestic electricity markets. Time-of-use tariffs and other methods of …
across deregulated domestic electricity markets. Time-of-use tariffs and other methods of …
Robust distribution system expansion planning incorporating thermostatically-controlled-load demand response resource
H Liang, J Ma, J Lin - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Smart meter data provides rich information on customers' energy consumption behaviors,
which can be a valuable resource for evaluating customers' demand response (DR) …
which can be a valuable resource for evaluating customers' demand response (DR) …