[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 …

Machine learning and multi-agent systems in oil and gas industry applications: A survey

KM Hanga, Y Kovalchuk - Computer Science Review, 2019 - Elsevier
The oil and gas industry (OGI) has always been associated with challenges and
complexities. It involves many processes and stakeholders, each generating a huge amount …

Multi-agent systems: A survey

A Dorri, SS Kanhere, R Jurdak - Ieee Access, 2018 - ieeexplore.ieee.org
Multi-agent systems (MASs) have received tremendous attention from scholars in different
disciplines, including computer science and civil engineering, as a means to solve complex …

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 …

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

VN Coelho, MW Cohen, IM Coelho, N Liu… - Applied energy, 2017 - Elsevier
Mini/microgrids are a potential solution being studied for future systems relying on
distributed generation. Given the distributed topology of the emerging smart grid systems …

Industrial agents as a key enabler for realizing industrial cyber-physical systems: Multiagent systems entering industry 4.0

S Karnouskos, P Leitao, L Ribeiro… - IEEE Industrial …, 2020 - ieeexplore.ieee.org
Industrial agents (IAs)[1] are multiagent-based systems (MASs)[2] that, for many years, have
been advocated as a promising and realistic solution for an emerging set of industrial …

Future challenges and mitigation methods for high photovoltaic penetration: A survey

TO Olowu, A Sundararajan, M Moghaddami, AI Sarwat - Energies, 2018 - mdpi.com
Integration of high volume (high penetration) of photovoltaic (PV) generation with power
grids consequently leads to some technical challenges that are mainly due to the intermittent …

Adaptive consensus-based robust strategy for economic dispatch of smart grids subject to communication uncertainties

G Wen, X Yu, ZW Liu, W Yu - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
The economic dispatch problem is investigated in this paper for a class of smart grids
subject to unknown communication uncertainties. Compared with existing works related to …

Multiagent systems application for the smart grid protection

AA Shobole, M Wadi - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
The smart power grid blends the bidirectional energy with information flow. Compared to the
traditional power grid, it requires more intelligent and faster control, protection, automation …

Exploring large language model based intelligent agents: Definitions, methods, and prospects

Y Cheng, C Zhang, Z Zhang, X Meng, S Hong… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …