Forecasting Optimal Power Point of Photovoltaic System Using Reference Current Based Model Predictive Control Strategy Under Varying Climate Conditions DOI
Muhammad Abu Bakar Siddique, Dongya Zhao, Harun Jamil

et al.

International Journal of Control Automation and Systems, Journal Year: 2024, Volume and Issue: 22(10), P. 3117 - 3132

Published: Oct. 1, 2024

Language: Английский

Emerging maximum power point control algorithms for PV system: review, challenges and future trends DOI
Muhammad Abu Bakar Siddique,

Dongya Zhao,

Ateeq Ur Rehman

et al.

Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

1
Recent developments in solar water heaters and solar collectors: A review on experimental and neural network analysis DOI Creative Commons

Rasaiah Naveenkumar,

Rajaraman Venkateshkumar,

Vinayagam Mohanavel

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104394 - 104394

Published: Feb. 1, 2025

Language: Английский

Citations

1
Evaluation of hydrophobic/hydrophilic and antireflective coatings for photovoltaic panels DOI

Yadav Narendra Kumar Rajbahadur,

Avinash Kumar, Sushant Negi

et al.

Journal of Coatings Technology and Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

Language: Английский

Citations

7
Solar PV system with modified artificial rabbit optimization algorithm for MPPT DOI

Goldvin Sugirtha Dhas B,

Deepa Subramaniam Nachimuthu

Electrical Engineering, Journal Year: 2024, Volume and Issue: 106(4), P. 4543 - 4559

Published: Feb. 2, 2024

Language: Английский

Citations

6
MPPT techniques for photovoltaic systems: a systematic review in current trends and recent advances in artificial intelligence DOI Creative Commons
Olfa Boubaker

Discover Energy, Journal Year: 2023, Volume and Issue: 3(1)

Published: Dec. 6, 2023

Abstract Over the past decades, solar photovoltaic (PV) energy has been most valuable green energy. It is renowned for its sustainability, environmentally friendly nature, and minimal maintenance costs. Several methods aiming to extract highest are found in vast literature. The aim of this systematic review focus on current trends recent advances field. A “Scopus” bibliographic survey conducted around research articles published over three years (2019–2022). selected works, different taxonomies maximum power point tracking (MPPT) approaches found. list associated performance criteria also established, trends, future directions challenges field well identified. This paper could be a useful reference researchers companies concerned by sustainable development goals (GSD) clean production climate change.

Language: Английский

Citations

15
Machine learning-based modelling using ANN for performance prediction of a solar air heater design with jet impingement DOI
Supreme Das, Agnimitra Biswas, Biplab Das

et al.

Thermal Science and Engineering Progress, Journal Year: 2023, Volume and Issue: 46, P. 102225 - 102225

Published: Oct. 18, 2023

Language: Английский

Citations

14
A Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment DOI Open Access
Ahmad Abubakar, Mahmud M. Jibril, Carlos Frederico Meschini Almeida

et al.

Processes, Journal Year: 2023, Volume and Issue: 11(9), P. 2549 - 2549

Published: Aug. 25, 2023

Fault detection in PV arrays and inverters is critical for ensuring maximum efficiency performance. Artificial intelligence (AI) learning can be used to quickly identify issues, resulting a sustainable environment with reduced downtime maintenance costs. As the use of solar energy systems continues grow, need reliable efficient fault diagnosis techniques becomes more critical. This paper presents novel approach photovoltaic (PV) inverters, combining AI techniques. It integrates Elman neural network (ENN), boosted tree algorithms (BTA), multi-layer perceptron (MLP), Gaussian processes regression (GPR) enhanced accuracy reliability diagnosis. leverages its strengths Feature engineering-based sensitivity analysis was utilized feature extraction. The were assessed using several statistical criteria including PBAIS, MAE, NSE, RMSE, MAPE. Two intelligent scenarios are carried out. first scenario conducted array DC power (DCP) as output. second inverter AC (ACP) proposed technique capable detecting faults providing solution enhancing performance systems. A real-world dataset evaluate results compared existing obtained showing that it outperforms techniques, achieving higher better GPR-M4 optimization justified reliably among all models MAPE = 0.0393 MAE 0.002 detection, 0.091 0.000 detection.

Language: Английский

Citations

13
Unveiling the distorted irradiation effect (Shade) in photovoltaic (PV) power conversion – A critical review on Causes, Types, and its minimization methods DOI
Derick Mathew,

J. Prasanth Ram,

Young-Jin Kim

et al.

Solar Energy, Journal Year: 2023, Volume and Issue: 266, P. 112141 - 112141

Published: Nov. 4, 2023

Language: Английский

Citations

11
Integration of MPPT algorithms with spacecraft applications: review, classification and future development outlook DOI
Peng Li, Jiateng Zhang, Ruidong Xu

et al.

Energy, Journal Year: 2024, Volume and Issue: 308, P. 132927 - 132927

Published: Aug. 28, 2024

Language: Английский

Citations

4
Power and efficiency enhancement of solar photovoltaic power plants through grouped string voltage balancing approach DOI Creative Commons
Priya Ranjan Satpathy, Vigna K. Ramachandaramurthy,

T. Krishnan

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100711 - 100711

Published: Sept. 1, 2024

Language: Английский

Citations

4