Your browser doesn't support javascript.
loading
Smart cost estimation: Empirical case for extra-high voltage transmission towers.
Wahyu Hayati, Diana; Chen, Jieh-Haur; Chen, Yu-Chun; Li, Shixian; Machsus, Machsus; Khoiri, Mohamad; Wang, Qian-Cheng; Wei, Hsi-Hsien.
Afiliación
  • Wahyu Hayati D; Department of Civil Engineering, National Central University, Jhongli, 320317, Taoyuan, Taiwan.
  • Chen JH; Department of Civil Engineering, Research Center of Smart Construction, National Central University, Jhongli, 320317, Taoyuan, Taiwan.
  • Chen YC; Department of Transmission Line and Substation Projects, Taiwan Power Company, 10078, Taipei, Taiwan.
  • Li S; Department of Building and Real Estate, Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
  • Machsus M; Department of Civil Infrastructure Engineering, Faculty of Vocations, Institut Teknologi Sepuluh Nopember, Indonesia.
  • Khoiri M; Department of Civil Infrastructure Engineering, Faculty of Vocations, Institut Teknologi Sepuluh Nopember, Indonesia.
  • Wang QC; Department of Land Economy, University of Cambridge, Cambridge, CB3 9EP, United Kingdom.
  • Wei HH; Department of Building and Real Estate, Hong Kong Polytechnic University, 999077, Hong Kong Special Administrative Region of China.
Heliyon ; 10(10): e31466, 2024 May 30.
Article en En | MEDLINE | ID: mdl-38813159
ABSTRACT
Nowadays, electricity has become an integral part of human lives. Most of our daily appliances, tools, and personal belongings are inseparable from electricity. To ensure a proper electricity distribution with an efficient transfer capability, Extra-High Voltage (EHV) transmission towers are needed. To design such a structure, it is of utmost importance to account for the cost of said tower. However, the process to estimate the cost of EHV transmission towers is both time-consuming and strenuous on human labor since a lot of consideration have to be taken. To overcome this, an imperative requirement exists for a prompt, precise, and automated tool to replace the existing manual cost estimation method. This research endeavor aims to craft a tool using support vector regression (SVR) with the capacity to prognosticate construction expenses for projects involving EHV transmission towers. The exploration of pertinent literature has enabled us to amass historical data and delineate the attributes essential for estimating costs linked to EHV transmission tower construction. The investigation delves into a comprehensive dataset spanning the past decade in Taiwan. Within this timeframe, 317 EHV transmission towers were erected between 2009 and 2019. However, 79 of these instances are excluded due to incomplete information, thereby yielding 238 viable datasets (comprising 75 % of the overall total) to underpin the development of the SVR model. By configuring the parameters to C = 0.2 and γ = 0.1, followed by 5-fold cross-validation, the resultant SVR model attains a remarkable prediction accuracy of 97.91 %, on average. As a result, the proposed SVR-based model can effectively and accurately predict the cost of constructing an EHV transmission tower project and reduce the time spent on estimation, thus contributing to the enhancement of the resilience and robustness of the transmission network system.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido