In this paper, a comparative study on the state of charge (SOC) estimation of the lithium-rich
manganese-based battery (LRMB) has been conducted by systematically considering the …

Waste engine oils are hazardous waste oils originating from the transportation sector and
industrial heavy-duty machinery operations. Improper handling, disposal, and …

The highly penetrated renewable energy resources have significantly increased the
uncertainty faced by the power system. Accurate day-ahead economic dispatch (ED) is …

The aim of this paper is to control the DOC outlet gas temperature between 600±15° C by
optimizing the hydrocarbon (HC) injection into the Diesel Oxidation Catalyst (DOC) for active …

Reinforcement Learning (RL) has demonstrated potential for optimal control of Heating,
Ventilation, and Air Conditioning (HVAC) systems. Current research on RL in HVAC systems …

Analyzing and forecasting technology development trends is of significant importance for
formulating research and development (R&D) strategies. Existing research focused on …

The reliability and stability of marine diesel engines are pivotal to the safety and economy of
maritime operations. Accurate and efficient prediction of the states of these engines is …

Complex product network change prediction can significantly reduce product redesign time.
The accuracy of change predictions often depends on the richness of the historical sample …

Spatiotemporal axle temperature forecasting is crucial for real-time failure detection in
locomotive control systems, significantly enhancing reliability and facilitating early …

Substations are integral components of urban energy infrastructure systems, serving as
lifelines within cities. Accurate real-time environmental data, especially indoor temperature …