214 citations · 250 across the 7 of their papers we have counts for
7 papers
Safe and Sustainable Electric Bus Charging Scheduling with Constrained Hierarchical DRL
Jiaju Qi, Lei Lei, Thorsteinn Jonsson +1
The integration of Electric Buses (EBs) with renewable energy sources such as photovoltaic (PV) panels is a promising approach to promote sustainable and low-carbon public transpor…
Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Thorsteinn Jonsson +1
The growing adoption of Electric Buses (EBs) represents a significant step toward sustainable development. By utilizing Internet of Things (IoT) systems, charging stations can auto…
Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Thorsteinn Jonsson +1
The charging scheduling problem of Electric Buses (EBs) is investigated based on Deep Reinforcement Learning (DRL). A Markov Decision Process (MDP) is conceived, where the time hor…
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Kan Zheng +3
In this paper, we investigate the scheduling issue of diesel generators (DGs) in an Internet of Things (IoT)-Driven isolated microgrid (MG) by deep reinforcement learning (DRL). Th…
Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Kan Zheng +1
Nowadays, the application of microgrids (MG) with renewable energy is becoming more and more extensive, which creates a strong need for dynamic energy management. In this paper, de…
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi, Qihao Zhou, Lei Lei +1
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL), an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of Fe…
Patent Analytics Based on Feature Vector Space Model: A Case of IoT
Lei Lei, Jiaju Qi, Kan Zheng
The number of approved patents worldwide increases rapidly each year, which requires new patent analytics to efficiently mine the valuable information attached to these patents. Ve…