Decision making in multiagent systems: A survey
Y Rizk, M Awad, EW Tunstel - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
Multi-agent system for microgrids: design, optimization and performance
K Tazi, FM Abbou, F Abdi - Artificial Intelligence Review, 2020 - Springer
Smart grids are considered a promising alternative to the existing power grid, combining
intelligent energy management with green power generation. Decomposed further into …
intelligent energy management with green power generation. Decomposed further into …
Heterogeneous energy storage optimization for microgrids
As microgrids evolve, it is reasonable to expect that a variety of energy storage systems
(ESSs) with different operational characteristics will be used simultaneously. Because each …
(ESSs) with different operational characteristics will be used simultaneously. Because each …
Prediction-based multi-agent reinforcement learning in inherently non-stationary environments
Multi-agent reinforcement learning (MARL) is a widely researched technique for
decentralised control in complex large-scale autonomous systems. Such systems often …
decentralised control in complex large-scale autonomous systems. Such systems often …
Decentralized optimal management of a large-scale EV fleet: optimality and computational complexity comparison between an Adaptive MAS and MILP
Increasing the penetration of variable and uncertain renewables and electric vehicles in
power systems may give rise to problems (such as network congestion and commitment …
power systems may give rise to problems (such as network congestion and commitment …
Sharing of energy among cooperative households using distributed multi-agent reinforcement learning
Due to the increase of the complexity and uncertainty in the future sustainable energy
system new control algorithms for decentralized acting energy entities are needed. We …
system new control algorithms for decentralized acting energy entities are needed. We …
Using reinforcement learning to make smart energy storage sources in microgrid
S Etemad, N Mozayani - 2015 30th International Power System …, 2015 - ieeexplore.ieee.org
The use of renewable energy in power generation, sudden changes in load and fault in
power transmission lines, causing a voltage drop in the system and challenge the reliability …
power transmission lines, causing a voltage drop in the system and challenge the reliability …
Adaptive Multi-Agent System and Mixed Integer Linear Programming Optimization Comparison for Grid Stability and Commitment Mismatch in Smart Grids
S Zafar, V Maurya, A Blavette… - 2021 IEEE PES …, 2021 - ieeexplore.ieee.org
Existing electrical networks are going through a transition and distributed energy resource, if
not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics …
not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics …
Approche à base d'agents pour l'ingénierie et le contrôle de micro-réseaux
G Basso - 2013 - theses.hal.science
La gestion d'énergie est un sujet de plus en plus important dans notre société. Nous faisons
actuellement face à un nombre croissant de problèmes tels que l'épuisement des réserves …
actuellement face à un nombre croissant de problèmes tels que l'épuisement des réserves …
[图书][B] Power management of remote microgrids considering battery lifetime
S Chalise - 2016 - search.proquest.com
Abstract Currently, 20%(1.3 billion) of the world's population still lacks access to electricity
and many live in remote areas where connection to the grid is not economical or practical …
and many live in remote areas where connection to the grid is not economical or practical …