Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …

The installation of photovoltaic (PV) system for electrical power generation has gained a
substantial interest in the power system for clean and green energy. However, having the …

This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …

The main purpose of this paper is to develop an efficient multi-stage methodology to predict
carbon dioxide emissions based on two important variables including the energy …

Renewable energy sources have been increasingly deployed as distributed generators in
remote areas. Meanwhile, fluctuating power generation from renewable energy sources …

Fast-acting reactive power support from distributed generations (DGs) is a promising
approach for tackling rapid voltage fluctuations in distribution networks. However, the …

Resilient design of robust multi-objectives PID controllers via the D-decomposition method is
presented in this paper for automatic voltage regulators (AVRs). The stabilizing interval of …

In this paper, a novel power normalized kernel least mean fourth algorithm based neural
network (NN) control (PNKLMF-NN) technique and learning-based hill climbing (L-HC) …

Uncertainties in the plant model parameters and perturbations in the controller gains
imposed by implementation errors represent a challenge to ensure robust stability and …

Currently, residential photovoltaic power generation system is increasingly used worldwide.
In this paper, an optimized structure of residential photovoltaic (PV) power generation …