A metaheuristic-optimization-based neural network for icing prediction on transmission lines

Snaiki, Reda; Jamali, Abdeslam; Rahem, Ahmed; Shabani, Mehdi; Barjenbruch, Brian L.

doi:10.1016/j.coldregions.2024.104249

i

A metaheuristic-optimization-based neural network for icing prediction on transmission lines

2024
By Snaiki, Reda ; Jamali, Abdeslam ; Rahem, Ahmed ; ...

Details

Journal Title:

Cold Regions Science and Technology
Personal Author:

Snaiki, Reda ; Jamali, Abdeslam ; Rahem, Ahmed ; Shabani, Mehdi ; Barjenbruch, Brian L.
NOAA Program & Office:

NWS (National Weather Service)
Description:

Ice accretion on overhead transmission line systems is a leading cause of power outages and can lead to substantial economic losses in northern regions. Therefore, accurately and rapidly predicting ice accretion on power lines is crucial for ensuring the safe operation of the power grid.
Source:

Cold Regions Science and Technology, 224, 104249
DOI:

https://doi.org/10.1016/j.coldregions.2024.104249
ISSN:

0165-232X
Format:

pdf
Publisher:

Elsevier BV
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

urn:sha-512:3840b9c790636ee57ebe5b09cba5b85cbd30f2122b18fe42cb6a22ec2c49e6a7b063cafb19c12e9d7702929123ea40294154dcf93235cb1b15b63958fe2ecda2
Download URL:

https://repository.library.noaa.gov/view/noaa/68242/noaa_68242_DS1.pdf
File Type:

[PDF - 3.12 MB ]

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