Rapid industrialization and its automation on the globe demands increased generation of
electrical energy with more reliability and quality. Renewable energy (RE) sources are …

This paper deals with the design and performance analysis of a three-phase single stage
solar photovoltaic integrated unified power quality conditioner (PV-UPQC). The PV-UPQC …

This paper developed methods for improving the practicability of battery health diagnosis
and remaining useful life prognostics. Battery state of health was estimated using a feature …

This paper deals with the combined least mean square–least mean fourth (LMS–LMF)-
based control algorithm for distribution static compensator (DSTATCOM) in three-phase …

This paper presents a control of smart photovoltaic (PV)-distribution static compensator
(DSTATCOM) grid tied system using an adaptive reweighted zero attracting control …

This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a
domain gaining increased attention. DPFL stands out for its higher approximation accuracy …

This paper proposes an application of a least mean-square (LMS)-based neural network
(NN) structure for the power quality improvement of a three-phase power distribution …

Capacity loss modeling is required for accurate and reliable lifetime evaluation of lithium-ion
batteries. The current capacity loss model parameters cannot be identified online. To …

Being one of the important parameters describing the state of power battery, state of charge
(SOC) is essential for the electric vehicle battery management system (BMS). SOC …

Accurate and robust state of charge (SOC) estimation is the key evaluation index for battery
management system (BMS) in electric vehicles (EVs). To improve the SOC estimation …