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Academic Publication A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction
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A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction
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Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control
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Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery management systems (BMSs) and system control tech...
PER-TD3 Integrated with HER Mechanism: Improving Training Efficiency and Control Accuracy for PEMFC Differential Pressure Control
The cathode and anode differential pressure control of a proton exchange membrane fuel cell (PEMFC) directly affects its service life and operating efficiency. Existing control methods find it diff...
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning
To address the insufficient energy efficiency prediction accuracy caused by topological coupling in the parallel operation of multiple chillers, this study proposes a physics-guided spatiotemporal ...
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Are there open-source GitHub repositories related to A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction?
Yes, open-source projects like Narcooo/inkos (Autonomous novel writing CLI agent — AI agents write, audit, and revise novels with human review gates) are actively building upon these concepts.
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