Increasing awareness for green energy and sustainable energy management has
accelerated the popularity for the incorporation of distributed energy resources and …

This paper presents a unique two-fold adaptive linear neural network (ADALINE) for fast and
accurate measurement of fundamental, harmonics, sub-harmonics, inter-harmonics and …

This study presents a modified variable step size (VSS) least mean square (LMS)‐based
control for improving the performance of a single‐stage photovoltaic (PV) integrated grid …

A hybrid particle swarm optimisation (PSO) and genetic algorithm (GA) aided Kalman filter
(PSO‐GA‐KF) method for dynamic harmonic state estimation in the power system is …

Power system harmonics should be estimated properly for the maintenance of power quality.
So, there is a need for development of more accurate and computationally efficient …

The power quality problem in the power system is increased with the use of non-linear
devices. Due to the use of non-linear devices like power electronic converters, there is an …

The leaky filtered-input least mean square (LFxLMS) algorithm is widely used in active noise
control applications to minimize the degradation of attenuation performance due to output …

This study proposes a novel algorithm for fast and accurate measurement of fundamental,
harmonics, sub‐and inter‐harmonic parameters of a distorted current signal with additive …

This paper focus on distribution system by applying different control techniques in order to
improve the performance of the system. In the distribution system mainly concentrate on …

This paper focuses on exploiting two computational intelligence techniques such as artificial
neural network and evolutionary computation techniques in estimation of harmonics in …