[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] Blockchain-based management of demand response in electric energy grids: A systematic review

N Junaidi, MP Abdullah, B Alharbi, M Shaaban - Energy Reports, 2023 - Elsevier
The complexities associated with modern energy grids, including high penetration levels of
renewable energy sources at the end use customers, the proliferation of electric vehicles …

Demand response for home energy management using reinforcement learning and artificial neural network

R Lu, SH Hong, M Yu - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Ever-changing variables in the electricity market require energy management systems
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …

Smart households' aggregated capacity forecasting for load aggregators under incentive-based demand response programs

F Wang, B Xiang, K Li, X Ge, H Lu, J Lai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The technological advancement in the communication and control infrastructure helps those
smart households (SHs) that more actively participate in the incentive-based demand …

A stochastic home energy management system considering satisfaction cost and response fatigue

M Shafie-Khah, P Siano - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Home energy management (HEM) systems enable residential consumers to participate in
demand response programs (DRPs) more actively. However, HEM systems confront some …

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 …

Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle

X Wu, X Hu, Y Teng, S Qian, R Cheng - Journal of power sources, 2017 - Elsevier
Hybrid solar-battery power source is essential in the nexus of plug-in electric vehicle (PEV),
renewables, and smart building. This paper devises an optimization framework for efficient …

Residential demand response strategies and applications in active distribution network management

S Davarzani, I Pisica, GA Taylor… - … and sustainable energy …, 2021 - Elsevier
Electricity distribution is moving towards active, more flexible, smarter and decentralized
energy systems. This transition requires System Operators (SO) to dynamically monitor and …

Time-varying price elasticity of demand estimation for demand-side smart dynamic pricing

J Ruan, G Liu, J Qiu, G Liang, J Zhao, B He, F Wen - Applied Energy, 2022 - Elsevier
The rapid development of the smart energy system promotes bidirectional communications
between the supply-side and demand-side. End users can handily receive real-time prices …

Stochastic optimization of home energy management system using clustered quantile scenario reduction

M Kim, T Park, J Jeong, H Kim - Applied Energy, 2023 - Elsevier
Recent proliferation of renewable energy has increased the installation of residential energy
sources (eg, roof-top photovoltaic (PV) panel and residential wind turbine) in households. To …