[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
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 …
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
Electricity distribution is moving towards active, more flexible, smarter and decentralized
energy systems. This transition requires System Operators (SO) to dynamically monitor and …
energy systems. This transition requires System Operators (SO) to dynamically monitor and …
Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
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 …
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 …
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
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 …
(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
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 …
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
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 …
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 …
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 …
(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 …
the low-carbon operation and energy supply in energy systems has been aggravating …