A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies

Hamed H.H. Aly

doi:10.1016/j.renene.2019.09.107

A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies

Hamed H.H. Aly

Institutional Research Division

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

Original language	English
Pages (from-to)	1554-1564
Number of pages	11
Journal	Renewable Energy
Volume	147
DOIs	https://doi.org/10.1016/j.renene.2019.09.107
Publication status	Published - Mar 2020

ASJC Scopus Subject Areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.renene.2019.09.107

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title = "A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies",

author = "Aly, {Hamed H.H.}",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2020",

month = mar,

doi = "10.1016/j.renene.2019.09.107",

language = "English",

volume = "147",

pages = "1554--1564",

journal = "Renewable Energy",

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publisher = "Elsevier BV",

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AU - Aly, Hamed H.H.

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SN - 0960-1481

VL - 147

SP - 1554

EP - 1564

JO - Renewable Energy

JF - Renewable Energy

ER -

A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies

ASJC Scopus Subject Areas

UN SDGs

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