In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

PV energy are enticing an enormous focus in the actual energy scenario. In order to assure
the transfer of the maximum power to the load, a boost converter is used containing several …

This paper proposes a new hybrid controller based MPPT. This one is composed of the
Artificial Neural Network and Integral Feedback Linearization Controller (ANN-IFLC). The …

This paper presents a control strategy of maximum power point tracking and focuses on
hybrid q-learning and type-2 fuzzy logic control strategy. Photovoltaics have non-linear …

The control of maximum power point tracking (MPPT) occupies the top importance in the
optimization of photovoltaic systems (PVSs). Due to output power fluctuations in the variance …

This study discusses the widespread problem of chattering phenomena and high frequency
oscillations in sliding mode controllers (SMCs) used for maximum power point (MPP) …

Introduction. The efficiency of solar energy systems in producing electricity in a clean way.
Reliance on it in industrial and domestic systems has led to the emergence of malfunctions …

Photovoltaic energy has gained an important place among renewable energies. Given its
weather-dependent efficiency, Maximum Power Point Tracking (MPPT) techniques are …

Partial shading occurs when some of the solar panels are exposed to reduced irradiation.
Partial shading can lead to creating peaks and troughs in power production. The goal of this …

Since the BP neural network has poor performance and unstable learning rate in the
maximum power point tracking (MPPT) algorithm of photovoltaic (PV) system, an adaptive …