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Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation

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Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation

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Quiles Cucarella, E.; Marquina-Tajuelo, A.; Roldán-Blay, C.; Roldán-Porta, C. (2023). Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation. Applied Sciences. 13(21). https://doi.org/10.3390/app132111623

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/202993

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Title: Particle Swarm Optimization Method for Stand-Alone Photovoltaic System Reliability and Cost Evaluation Based on Monte Carlo Simulation
Author: Quiles Cucarella, Eduardo Marquina-Tajuelo, Adrián Roldán-Blay, Carlos Roldán-Porta, Carlos
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Issued date:
Abstract:
[EN] In rural regions with limited access to the power grid, self-reliance for electricity generation is paramount. This study focuses on enhancing the design of stand-alone photovoltaic installations (SAPV) to replace ...[+]
Subjects: Renewable energy , Photovoltaic generation , Reliability , Monte Carlo simulation , PSO
Copyrigths: Reconocimiento (by)
Source:
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app132111623
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/app132111623
Project ID:
info:eu-repo/grantAgreement/UPV//PAID 11-22//programa de ayudas del Vicerrectorado de Investigación de la Universitat Politècnica de València (PAID-11-22)./
Thanks:
Vicerrectorado de Investigacion de la Universitat Politecnica de Valencia (PAID-11-22)
Type: Artículo

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