Fuzzy Q-learning-based approach for real-time energy management of home microgrids using cooperative multi-agent system

A Salari, SE Ahmadi, M Marzband, M Zeinali - Sustainable Cities and …, 2023 - Elsevier
The development of plug-in electrical vehicles (PEVs) and distributed energy resources in
home microgrids (H-MGs) is gaining attention in recent years. Accordingly, it is vital to apply …

[HTML][HTML] Multi-agent based energy community cost optimization considering high electric vehicles penetration

R Faia, B Ribeiro, C Goncalves, L Gomes… - … Energy Technologies and …, 2023 - Elsevier
This paper proposes a multi-agent based solution to minimize the energy cost of an energy
community, in day-ahead, that includes high penetration of electric vehicles. The proposed …

Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective

Z Xu, A Elomri, R Baldacci, L Kerbache… - Annals of Operations …, 2024 - Springer
Abstract Industrial 4.0 (I4. 0) is believed to revolutionize supply chain (SC) management and
the articles in this domain have experienced remarkable increments in recent years …

A Machine Learning-Based Approach for Multi-AGV Dispatching at Automated Container Terminals

Y Gao, CH Chen, D Chang - Journal of Marine Science and Engineering, 2023 - mdpi.com
The dispatching of automated guided vehicles (AGVs) is essential for efficient horizontal
transportation at automated container terminals. Effective planning of AGV transportation …

[HTML][HTML] Optimization of spatial layouts for underground facilities to achieve carbon neutrality in cities: A multi-agent system model

L Wei, D Guo, J Ji, Z Chen, H Hu, X Peng - Underground Space, 2024 - Elsevier
Subways, underground logistics systems and underground parking, as the primary facilities
types of underground, contribute significantly to the achievement of carbon–neutral cities by …

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions

H Du, S Thudumu, R Vasa, K Mouzakis - arXiv preprint arXiv:2402.01968, 2024 - arxiv.org
Research interest in autonomous agents is on the rise as an emerging topic. The notable
achievements of Large Language Models (LLMs) have demonstrated the considerable …

The Influence of Entrepreneurial Bricolage on Opportunity Recognition for New Ventures Based on Artificial Intelligence

X Kang, K Chaivirutnukul, Y Zeng - Journal of Information …, 2023 - jisem-journal.com
This study delves into the subtle relationships between entrepreneurial bricolage, the use of
artificial intelligence (AI), entrepreneurial knowledge, and the identification of opportunities …

IoT-Enabled predictive maintenance for sustainable transportation fleets

L Kansal, P Ediga - MATEC Web of Conferences, 2024 - matec-conferences.org
This study explores the use of Internet of Things (IoT) based predictive maintenance
techniques for sustainable transportation fleets. It utilizes various datasets to enhance …

IoT-Enabled Predictive Maintenance for Sustainable Transportation Fleets

V Mittal, PS Devi, AK Pandey, T Singh… - E3S Web of …, 2024 - e3s-conferences.org
This research examines the profound effects of integrating IoT-enabled predictive
maintenance in sustainable transportation fleets. By using real-time sensor data, this …

Data Driven Consensus Control for Multi-Agent Systems with Disturbance

Z Lin, J Zhao - 2023 42nd Chinese Control Conference (CCC), 2023 - ieeexplore.ieee.org
Consensus of second order linear Multi-Agent Systems (MASs) under random disturbance is
investigated Data Driven Control (DDC). Under the structure of unidirectional topology, the …