A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions

F Belhachat, C Larbes - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Maximum power point tracking (MPPT) control techniques play a vital role in efficiency
improvement of photovoltaic (PV) systems. It is mainly used to extract maximum possible …

Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

M Kermadi, Z Salam, AM Eltamaly… - IET Renewable …, 2020 - Wiley Online Library
This review covers global maximum power point tracking (GMPPT) methods for photovoltaic
(PV) systems under partial shading conditions. Unlike the previous review works that …

The new agronomists: Language models are experts in crop management

J Wu, Z Lai, S Chen, R Tao, P Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Crop management plays a crucial role in determining crop yield economic profitability and
environmental sustainability. Despite the availability of management guidelines optimizing …

Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids

L Avila, M De Paula, M Trimboli, I Carlucho - Applied Soft Computing, 2020 - Elsevier
Photovoltaic systems (PV) are having an increased importance in modern smart grids
systems. Usually, in order to maximize the energy output of the PV arrays a maximum power …

[HTML][HTML] A comprehensive review of recent maximum power point tracking techniques for photovoltaic systems under partial shading

MY Worku, MA Hassan, LS Maraaba, M Shafiullah… - Sustainability, 2023 - mdpi.com
To operate photovoltaic (PV) systems efficiently, the maximum available power should
always be extracted. However, due to rapidly varying environmental conditions such as …

Language models are free boosters for biomedical imaging tasks

Z Lai, J Wu, S Chen, Y Zhou, A Hovakimyan… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we uncover the unexpected efficacy of residual-based large language models
(LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of …

Adaptive ensembles of fine-tuned transformers for llm-generated text detection

Z Lai, X Zhang, S Chen - arXiv preprint arXiv:2403.13335, 2024 - arxiv.org
Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …

[HTML][HTML] Role of metaheuristic approaches for implementation of integrated MPPT-PV systems: a comprehensive study

AK Sharma, RK Pachauri, S Choudhury, AF Minai… - Mathematics, 2023 - mdpi.com
An effective MPPT approach plays a significant role in increasing the efficiency of a PV
system. Solar energy is a rich renewable energy source that is supplied to the earth in …

Future perspective and current situation of maximum power point tracking methods in thermoelectric generators

H Mamur, MA Üstüner, MRA Bhuiyan - Sustainable Energy Technologies …, 2022 - Elsevier
One of the green technologies that can be used to increase energy efficiency by recovering
a part of waste heat as electrical energy is thermoelectric generators (TEG) by using the …

Dynamic global power extraction of partially shaded PV system using a hybrid MPSO-PID with anti-windup strategy

ALW Ibrahim, F Zhijian, HMH Farh, W Zhiguo… - … Applications of Artificial …, 2023 - Elsevier
Abstract Particle Swarm Optimizer (PSO) has three main drawbacks in case of partially
shaded photovoltaic systems. First, it converges slowly to the global peak (GP). Second …