[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 …

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 …

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 …

Modified deep learning and reinforcement learning for an incentive-based demand response model

L Wen, K Zhou, J Li, S Wang - Energy, 2020 - Elsevier
Incentive-based demand response (DR) program can induce end users (EUs) to reduce
electricity demand during peak period through rewards. In this study, an incentive-based DR …

Robust bidding strategy for demand response aggregators in electricity market based on game theory

S Abapour, B Mohammadi-Ivatloo, MT Hagh - Journal of Cleaner …, 2020 - Elsevier
One of the ways to manage and provide flexibility in power systems is demand response
(DR). A large number of end-users as DR sources must be aggregated by an intermediate …

[HTML][HTML] Review on fairness in local energy systems

J Soares, F Lezama, R Faia, S Limmer, M Dietrich… - Applied Energy, 2024 - Elsevier
The discussion of fairness is gaining considerable attention in the context of Local Energy
Systems (LES). This is partially motivated by the energy transition, which has put more …

A Bayesian game theoretic based bidding strategy for demand response aggregators in electricity markets

S Abapour, B Mohammadi-Ivatloo, MT Hagh - Sustainable Cities and …, 2020 - Elsevier
In recent years, significant development in smart metering and remote sensing systems in
the electricity industry, especially on the side of consumers, it has made in implementation …

Optimal scheduling of demand response aggregators in industrial parks based on load disaggregation algorithm

MZ Oskouei, S Zeinal-Kheiri… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Nowadays, industrial parks play a significant role in the development of electricity market
plans, and can thus provide excellent opportunities for market players to actively participate …

Decentralized energy management concept for urban charging hubs with multiple V2G aggregators

E Gümrükcü, JRA Klemets, JA Suul… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This work introduces a decentralized management concept for the urban charging hubs
(UCHs) where electric vehicles (EVs) can access multiple charger clusters, each controlled …

Coordinated low-carbon dispatching on source-demand side for integrated electricity-gas system based on integrated demand response exchange

C Li, Z Yan, Y Yao, Y Deng, C Shao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the exploration of deep decarbonization around the world, the contradiction between
the low-carbon operation and energy supply in energy systems has been aggravating …