[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

I Antonopoulos, V Robu, B Couraud, D Kirli… - … and Sustainable Energy …, 2020 - Elsevier
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

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 …

Review of smart meter data analytics: Applications, methodologies, and challenges

Y Wang, Q Chen, T Hong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Big data analytics in smart grids: a review

Y Zhang, T Huang, EF Bompard - Energy informatics, 2018 - Springer
Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

Clustering of electricity consumption behavior dynamics toward big data applications

Y Wang, Q Chen, C Kang, Q Xia - IEEE transactions on smart …, 2016 - ieeexplore.ieee.org
In a competitive retail market, large volumes of smart meter data provide opportunities for
load serving entities to enhance their knowledge of customers' electricity consumption …

A data mining-based framework for the identification of daily electricity usage patterns and anomaly detection in building electricity consumption data

X Liu, Y Ding, H Tang, F Xiao - Energy and Buildings, 2021 - Elsevier
With the development of advanced information techniques, smart energy meters have made
a considerable amount of real-time electricity consumption data available. These data …

Electricity load forecasting using clustering and ARIMA model for energy management in buildings

B Nepal, M Yamaha, A Yokoe… - Japan Architectural …, 2020 - Wiley Online Library
Understanding the energy consumption patterns of buildings and investing efforts toward
energy load reduction is important for optimizing resources and conserving energy in …

Recent advances in the analysis of residential electricity consumption and applications of smart meter data

B Yildiz, JI Bilbao, J Dore, AB Sproul - Applied Energy, 2017 - Elsevier
The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …

Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment

MA Khan, AM Saleh, M Waseem, IA Sajjad - Ieee Access, 2022 - ieeexplore.ieee.org
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …

A comparative study of clustering techniques for electrical load pattern segmentation

A Rajabi, M Eskandari, MJ Ghadi, L Li, J Zhang… - … and Sustainable Energy …, 2020 - Elsevier
Smart meters have been widely deployed in power networks since the last decade. This
trend has resulted in an enormous volume of data being collected from the electricity …