Learning Hidden Markov Models with Structured Transition Dynamics

S Ma, A Dehghanian, GG Garcia… - INFORMS Journal on …, 2024 - pubsonline.informs.org
The hidden Markov model (HMM) provides a natural framework for modeling the dynamic
evolution of latent diseases. The unknown probability matrices of HMMs can be learned …

Plug-in electric vehicle dynamic pricing strategies for bidirectional power flow in decentralized and centralized environment

D Choudhary, RN Mahanty, N Kumar - Sustainable Energy, Grids and …, 2024 - Elsevier
With the increasing number of plug-in electric vehicles (PEV) power demand management
without increasing existing facilities is becoming challenging. To address the issue two …

Distributed Charging Scheduling and Pricing Strategy for Plug-in Electric Vehicles Based on Stackelberg-Nash and Multi-Cluster Aggregative Games

Y **g, J Chen, L Qiao, H Mo… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In this paper, we propose a distributed and interactive Plug-in Electric Vehicle (PEV)
charging scheduling approach, which is also combined with an optimal pricing strategy. This …

信息-物理-社会视角下的电力-交通耦合网络建模与协同优化

盛裕杰, 郭庆来, 薛屹洵, 王嘉炜, 常馨月 - 电力系统自动化, 2024 - epjournal.csee.org.cn
**年来, 电动汽车(EV), 快速充电设施的高速增长将电力系统和交通系统这两个复杂的基础设施
网络紧密耦合. EV 具备充电时间和充电位置的灵活性, 对于新型电力系统**是理想的移动储能 …

多智能体协同研究进展综述: 博弈和控制交叉视角

秦家虎, 马麒超, **曼, 张聪, 付维明, 刘轻尘, 郑卫新 - 自动化学报, 2024 - aas.net.cn
多智能体协同应用广泛, 并被列为新一代人工智能基础理论亟待突破的重要内容之一,
对其开展研究具有鲜明的科学价值和工程意义. 随着人工智能技术的进步, 单一控制视角下的多 …

Deep Reinforcement Learning-Based Charging Pricing Strategy for Charging Station Operators and Charging Navigation for EVs

Y Wang, Q Wu, Z Li, L **ao… - 2024 IEEE 2nd …, 2024 - ieeexplore.ieee.org
With the rapid development of electric vehicles (EVs), the number of charging stations (CSs)
has increased charging demands. In general, charging station operators (CSOs) in urban …