The performance degradation is a crucial factor affecting the commercialization of proton
exchange membrane electrolyzer. However, it is difficult to establish a mechanism model …

Probabilistic forecasting plays an important role in the safety, stability and operation of
power system. The traditional quantile regression method of non-parametric probability …

The utilization of data-driven models in predicting the remaining useful life (RUL) of lithium-
ion batteries has gained traction. However, deploying these models on edge devices …

Photovoltaic (PV) power probabilistic forecasting that provides decision makers with
probabilistic information and ranges of PV power generation is critical to the power system …

Predicting the remaining useful lifetime (RUL) stands as a crucial aspect of lithium-ion
battery management systems, acting as a core component of their functioning. Accurately …

Compliant mechanism has some advantages and has been widely applied in many
accurate positioning systems. However, modeling the compliant mechanism behavior has …

The prediction of the remaining service life is a widely researched topic. A precise forecast of
the remaining service life enables optimising the total cost of ownership, resulting in better …

Lithium-ion batteries may suffer an abnormal degradation defined by a significantly
accelerated performance drop after a period of linear and low-rate degradation, resulting in …

State synchronization is crucial in matching digital twins to physical objects dynamically in
order to have trustworthy modeling and reliable prediction. This work proposes two …

Accurate prediction of the remaining useful life (RUL) of batteries plays a crucial role in
ensuring their reliable operation and optimizing maintenance strategies. In this paper, we …