Evidence map›Paper›PMID 38839866›Full record

ArticleScientific reports2024

Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system.

P Ashwini Kumari, C H Hussaian Basha, Fini Fathima, C Dhanamjayulu, Hossam Kotb, Ali ELrashidi

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

P Ashwini KumariSchool of Electrical and Electronics Engineering, Reva University, Bangalore, India.
C H Hussaian BashaNITTE Meenakshi Institute of Technology (Autonomous), Bengaluru, India.
Fini FathimaMar Baselios Christian College of Engineering & Technology, Kuttikkanam, Kerala, India.
C DhanamjayuluSchool of Electrical Engineering, Vellore Institute of Technology, Vellore, India. dhanamjayulu.c@vit.ac.in.
Hossam KotbDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Ali ELrashidiElectrical Engineering Department, University of Business and Technology, Ar Rawdah, 23435, Jeddah, Saudi Arabia. a.elrashidi@ubt.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The parameter extraction process for PV models poses a complex nonlinear and multi-model optimization challenge. Accurately estimating these parameters is crucial for optimizing the efficiency of PV systems. To address this, the paper introduces the Adaptive Rao Dichotomy Method (ARDM) which leverages the adaptive characteristics of the Rao algorithm and the Dichotomy Technique. ARDM is compared with the several recent optimization techniques, including the tuna swarm optimizer, African vulture's optimizer, and teaching-learning-based optimizer. Statistical analyses and experimental results demonstrate the ARDM's superior performance in the parameter extraction for the various PV models, such as RTC France and PWP 201 polycrystalline, utilizing manufacturer-provided datasheets. Comparisons with competing techniques further underscore ARDM dominance. Simulation results highlight ARDM quick processing time, steady convergence, and consistently high accuracy in delivering optimal solutions.

Indexed as

Adaptive Rao algorithmDichotomyDouble diodeEnhanced Rao algorithmParameter extractionRoot mean square errorSingle diodeThree diode model

Identifiers

PMID38839866
PMCPMC11153556

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.