The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …

Electric vehicles play a crucial role in reducing fuel consumption and pollutant emissions for
more sustainable transportation. Lithium-ion batteries, as the most expensive but least …

The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

To improve computational efficiency of energy management strategies for plug-in hybrid
electric vehicles (PHEVs), this paper proposes a stochastic model predictive controller …

Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …

Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

Reinforcement learning is a new research hotspot in the artificial intelligence community. Q
learning as a famous reinforcement learning algorithm can achieve satisfactory control …

At present, hybrid electric vehicles are regarded as an effective way to solve global
environmental pollution and energy shortage. Energy management strategy is the core …