[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
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 …

Control and optimisation of power grids using smart meter data: A review

Z Chen, AM Amani, X Yu, M Jalili - Sensors, 2023 - mdpi.com
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 …

A home energy management system with an integrated smart thermostat for demand response in smart grids

AC Duman, HS Erden, Ö Gönül, Ö Güler - Sustainable Cities and Society, 2021 - Elsevier
Smart thermostats and home energy management systems (HEMSs) are generally studied
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

M Babar, MU Tariq, MA Jan - Sustainable Cities and Society, 2020 - Elsevier
The national security, economy, and healthcare heavily rely on the reliable distribution of
electricity. The incorporation of communication technologies and sensors in the power …

[HTML][HTML] A systematic review of modeling approaches for flexible energy resources

LP Wagner, LM Reinpold, M Kilthau, A Fay - Renewable and Sustainable …, 2023 - Elsevier
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 …

[HTML][HTML] Demand flexibility of residential buildings: definitions, flexible loads, and quantification methods

Z Luo, J Peng, J Cao, R Yin, B Zou, Y Tan, J Yan - Engineering, 2022 - Elsevier
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 …

A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets

M Khorasany, AS Gazafroudi, R Razzaghi, T Morstyn… - Applied Energy, 2022 - Elsevier
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 …

Optimal model for local energy community scheduling considering peer to peer electricity transactions

R Faia, J Soares, T Pinto, F Lezama, Z Vale… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Efficient residential electric load forecasting via transfer learning and graph neural networks

D Wu, W Lin - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
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 …

Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings

M Manfren, B Nastasi, L Tronchin, D Groppi… - … and sustainable energy …, 2021 - Elsevier
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 …