[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
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 …
A home energy management system with an integrated smart thermostat for demand response in smart grids
Smart thermostats and home energy management systems (HEMSs) are generally studied
separately. However, their joint use can provide a greater benefit. Therefore, this study …
separately. However, their joint use can provide a greater benefit. Therefore, this study …
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
The national security, economy, and healthcare heavily rely on the reliable distribution of
electricity. The incorporation of communication technologies and sensors in the power …
electricity. The incorporation of communication technologies and sensors in the power …
[HTML][HTML] A systematic review of modeling approaches for flexible energy resources
Due to increasing amounts of energy being supplied by intermittent renewable energy
sources, future energy systems need to be able to react flexibly to sudden changes. To …
sources, future energy systems need to be able to react flexibly to sudden changes. To …
[HTML][HTML] Demand flexibility of residential buildings: definitions, flexible loads, and quantification methods
This paper reviews recent research on the demand flexibility of residential buildings in
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets
As the owners of distributed energy resources (DER), prosumers can actively manage their
power supply and consumption and partake in new energy services. In order to enable …
power supply and consumption and partake in new energy services. In order to enable …
Optimal model for local energy community scheduling considering peer to peer electricity transactions
The current energy strategy of the European Union puts the end-user as a key participant in
electricity markets. The creation of energy communities has been encouraged by the …
electricity markets. The creation of energy communities has been encouraged by the …
Efficient residential electric load forecasting via transfer learning and graph neural networks
The accurate short-term electric load forecasting (STLF) is critical for the safety and
economical operation of modern electric power systems. Recently, the graph neural network …
economical operation of modern electric power systems. Recently, the graph neural network …
Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings
Smart energy services and technologies are key components of energy transition and
decarbonisation strategies for the built environment. On the one hand, the technical potential …
decarbonisation strategies for the built environment. On the one hand, the technical potential …