[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 …

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 …

Artificial intelligence application in demand response: advantages, issues, status, and challenges

ANF Ali, MF Sulaima, IAWA Razak, AFA Kadir… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, there has been a significant growth in demand response (DR) as a cost-
effective technique of providing flexibility and, as a result, improving the dependability of …

Multi agent framework for consumer demand response in electricity market: Applications and recent advancement

VK Saini, R Kumar, A Sujil, RC Bansal… - … Energy, Grids and …, 2024 - Elsevier
Smart grid can offer load sharing and utilize distributed energy resources to reduce energy
consumption costs and potentially earn revenue through energy services. Information and …

A novel decision strategy for a bilateral energy contract

A Anees, T Dillon, YPP Chen - Applied Energy, 2019 - Elsevier
Due to the relatively high transportation cost of energy in remote regions, an effective and
efficient energy trading market is required. In this paper, first, we extend the idea of a smart …

Portfolio and contract design for demand response resources

J Gärttner, CM Flath, C Weinhardt - European Journal of Operational …, 2018 - Elsevier
Electricity generation from renewable energy sources has seen significant growth in recent
years. To improve grid integration of these volatile energy resources, demand side flexibility …

A Survey of Multi-Agent Systems for Smartgrids.

Y Izmirlioglu, L Pham, TC Son… - Energies …, 2024 - search.ebscohost.com
This paper provides a survey of the literature on the application of Multi-agent Systems
(MAS) technology for Smartgrids. Smartgrids represent the next generation electric network …

Multi-agent retail energy markets: bilateral contracting and coalitions of end-use customers

H Algarvio, F Lopes, J Santana - 2015 12th International …, 2015 - ieeexplore.ieee.org
The electricity industry has undergone enormous changes and market forces drive now the
price of energy. This paper focuses on retail markets in which end-use customers can …

Agent-based simulation of wholesale energy markets: a case study on renewable generation

D Vidigal, F Lopes, A Pronto… - 2015 26th International …, 2015 - ieeexplore.ieee.org
Variable generation (VG), such as wind power, has increased significantly in recent years.
VG has several unique characteristics compared to those of traditional power plants …