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Journal ArticleDOI

Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System

TLDR
In this paper, the authors explored the application of a new meta-heuristic algorithm called Cuckoo Search (CS) in the area of a hybrid energy system design problem.
About
This article is published in Renewable Energy.The article was published on 2016-10-01. It has received 157 citations till now. The article focuses on the topics: Cuckoo search & Wind power.

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Citations
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Journal ArticleDOI

A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system

TL;DR: This paper aims to present a comprehensive review on recent developments in size optimization methodologies, as well as a critical comparison of single algorithms, hybrid algorithms, and software tools used for sizing standalone solar and wind HRES.
Journal ArticleDOI

A review on recent sizing methodologies of hybrid renewable energy systems

TL;DR: Hybrid methods with high accuracy and fast convergence that can surmount the defects of single methods are the most promising sizing method compared to the other three sizing methods.
Journal ArticleDOI

Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources

TL;DR: In this article, a microgrid system that consists of photovoltaic, wind turbine generator, electric storage system and diesel generator is implemented to test their commercial prospects in rural communities that have no access to electricity due to economic and technical constraints.
Journal ArticleDOI

Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review

TL;DR: An updated literature review, of the most applied method and techniques used in sizing and optimization of PV-Wind based hybrid system (PWHS) for an isolated area aiming to reach the best compromise between power reliability and hybrid system costs is provided.
Journal ArticleDOI

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

TL;DR: Overall, this review provides preliminary guidelines, research gaps and recommendations for developing a better and more user-friendly DG energy planning optimisation tool.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Journal ArticleDOI

Particle swarm optimization

TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Proceedings ArticleDOI

Cuckoo Search via Lévy flights

TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
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