[HTML][HTML] A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
Power grid damage and blackouts are increasing with climate change. Load forecasting
methods that integrate climate resilience are therefore essential to facilitate timely and …
methods that integrate climate resilience are therefore essential to facilitate timely and …
Ammonia-hydrogen propulsion system for carbon-free heavy-duty vehicles
H Zhang, N Lei, Z Wang - Applied Energy, 2024 - Elsevier
Growing concerns about greenhouse gas (GHG) emissions are driving research into carbon-
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
H Zhang, N Lei, B Chen, B Li, R Li, Z Wang - arXiv preprint arXiv …, 2024 - arxiv.org
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …