Chat gpt & google bard ai: A review

SK Singh, S Kumar, PS Mehra - 2023 International Conference …, 2023 - ieeexplore.ieee.org
In today's world, Artificial Intelligence is one of the deepest and newest things to learn and
research. Research on Artificial Intelligence is based on some goals and the use of some …

High Performance MPPT based on TS Fuzzy–integral backstepping control for PV system under rapid varying irradiance—Experimental validation

H Doubabi, I Salhi, M Chennani, N Essounbouli - ISA transactions, 2021 - Elsevier
With the recent focus marked on energy efficiency and solar energy development, much
research is being dedicated to the development of enhanced maximum power point tracking …

An efficient metaheuristic technique to control the maximum power point of a partially shaded photovoltaic system using crow search algorithm (CSA)

Y Houam, A Terki, N Bouarroudj - Journal of Electrical Engineering & …, 2021 - Springer
The field of research in maximum power point tracking (MPPT) methods is experiencing
great progress with a wide range of techniques being suggested, ranging from simple but …

Supertwisting sliding mode algorithm based nonlinear MPPT control for a solar PV system with artificial neural networks based reference generation

S Ahmed, HM Muhammad Adil, I Ahmad, MK Azeem… - Energies, 2020 - mdpi.com
The problem of extracting maximum power from a photovoltaic (PV) system with negligible
power loss is concerned with the power generating capability of the PV array and nature of …

Multi-step depth model predictive control for photovoltaic power systems based on maximum power point tracking techniques

L Yin, Z Su - International Journal of Electrical Power & Energy …, 2021 - Elsevier
To increase the PV power generation efficiency, this paper proposes a multi-step depth
model predictive control algorithm based on maximum power point tracking techniques. The …

A novel MPPT algorithm for photovoltaic systems based on improved sliding mode control

Y Zhang, YJ Wang, JQ Yu - Electronics, 2022 - mdpi.com
Due to the poor tracking performance and significant chattering of traditional sliding mode
control in the maximum power point tracking (MPPT) algorithm, a novel MPPT algorithm …

Adaptive continuous sliding mode control of buck converters with multidisturbances based on zero-crossing detection

Y Wang, W Zhang, C Xue - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, a novel adaptive continuous sliding mode (SM) control approach is proposed
based on the robust stability analysis of buck converters with multi-disturbances. Instead of …

A hierarchical architecture for increasing efficiency of large photovoltaic plants under non-homogeneous solar irradiation

TN Ngoc, ER Sanseverino, NN Quang, P Romano… - Solar Energy, 2019 - Elsevier
Under non-homogeneous solar irradiation, photovoltaic (PV) panels receive different solar
irradiance, resulting in a decrease in efficiency of the PV generation system. There are a few …

RETRACTED ARTICLE: Generation of maximum power in PV system using EHO based embedded controller

B Jegajothi, C Yaashuwanth - Journal of Ambient Intelligence and …, 2021 - Springer
Photovoltaic (PV) framework's current–voltage qualities are nonlinear, since, the solar
temperature and the resulting randomness in the light of the natural elements. PV for power …

Real-Time implementation of a PV system maximum power point tracking based on the ANN-Backstepping sliding mode control.

EL Rafika, A Abbou, M Mokhlis, H Bouzakri - International Journal of …, 2021 - ijrer.org
This work presents a real-time implementation of the maximum power point tracking (MPPT)
of the PV system using an ANN-BSMC controller. Effectively, this hybrid control consists of …