[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 …

[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries

H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022‏ - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …

[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 …

A multi-agent reinforcement learning-based data-driven method for home energy management

X Xu, Y Jia, Y Xu, Z Xu, S Chai… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
This paper proposes a novel framework for home energy management (HEM) based on
reinforcement learning in achieving efficient home-based demand response (DR). The …

Energy management system for smart grid: An overview and key issues

SK Rathor, D Saxena - International Journal of Energy …, 2020‏ - Wiley Online Library
Energy crisis and the global impetus to “go green” have encouraged the integration of
renewable energy resources, plug‐in electric vehicles, and energy storage systems to the …

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

MS Bakare, A Abdulkarim, M Zeeshan, AN Shuaibu - Energy Informatics, 2023‏ - Springer
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …

[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

Y Himeur, A Alsalemi, A Al-Kababji, F Bensaali… - Information …, 2021‏ - Elsevier
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

Home energy management system concepts, configurations, and technologies for the smart grid

U Zafar, S Bayhan, A Sanfilippo - IEEE access, 2020‏ - ieeexplore.ieee.org
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …

Closed-loop home energy management system with renewable energy sources in a smart grid: A comprehensive review

AO Ali, MR Elmarghany, MM Abdelsalam… - Journal of Energy …, 2022‏ - Elsevier
Nowadays, energy plays a prominent role in all aspects of our life. So far, unclean and non-
renewable energy, which has severe economic and environmental impacts, dominant the …

[HTML][HTML] Deep reinforcement learning for home energy management system control

P Lissa, C Deane, M Schukat, F Seri, M Keane… - Energy and AI, 2021‏ - Elsevier
The use of machine learning techniques has been proven to be a viable solution for smart
home energy management. These techniques autonomously control heating and domestic …