Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …

Battery health prognostic plays a crucial role in the safe operation of electrical devices.
Battery degradation modeling is a crucial step for battery health prognostics. Currently, since …

In the electricity market environment, electricity price forecasting plays an essential role in
the decision-making process of a power generation company, especially in developing the …

Over the last 20 years, lithium-ion batteries have become widely used in many fields due to
their advantages such as ease of use and low cost. However, there are concerns about the …

Accurate and efficient capacity prediction of lithium-ion batteries plays an important role in
improving performance and ensuring safe operation. An improved singular spectral analysis …

In this paper, we propose an adaptive transfer learning method for predicting battery health
status. We construct a multi-task transfer learning framework to address the problem of …

Abstract A Cyber-Physical System (CPS)-enabled rehabilitation system framework for
enhanced recovery rate in gait training systems is presented in this paper. Recent …

Li-ion batteries are important in modern technology, especially for drones, due to their high
energy density, long cycle life, and lightweight properties. Predicting their performance is …

This study explores the critical aspect of ensuring safety and reliability in lithium-ion batteries
by accurately monitoring their State of Health (SOH). Because of the intricate nature of …

Electricity price risk assessment (EPRA) is essential for spot market analysis and operation.
The statistical moments (ie, the mean and standard deviation) of the price need to be …