Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling

This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves...

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Main Author: Guerta, Uno Gabriel Yap
Other Authors: Goh Wang Ling
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176269
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1762692024-05-17T15:44:58Z Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling Guerta, Uno Gabriel Yap Goh Wang Ling School of Electrical and Electronic Engineering Advanced Remanufacturing and Technology Centre EWLGOH@ntu.edu.sg Computer and Information Science Engineering This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves preprocessing the text data, training the LDA model, and analyzing the resulting topics. Key findings shed light on critical aspects such as battery chemistry, performance metrics, charging infrastructure, environmental impact, and future advancements. These insights contribute to a more comprehensive understanding of EV battery technology, aiding informed decision-making and fostering innovation and sustainability in the transportation sector. By leveraging Topic Modeling, this study contributes to a deeper understanding of EV battery technology, facilitating informed decision-making, innovation, and sustainability in the transportation sector. Bachelor's degree 2024-05-15T05:30:35Z 2024-05-15T05:30:35Z 2024 Final Year Project (FYP) Guerta, U. G. Y. (2024). Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176269 https://hdl.handle.net/10356/176269 en B2292-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Engineering
spellingShingle Computer and Information Science
Engineering
Guerta, Uno Gabriel Yap
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
description This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves preprocessing the text data, training the LDA model, and analyzing the resulting topics. Key findings shed light on critical aspects such as battery chemistry, performance metrics, charging infrastructure, environmental impact, and future advancements. These insights contribute to a more comprehensive understanding of EV battery technology, aiding informed decision-making and fostering innovation and sustainability in the transportation sector. By leveraging Topic Modeling, this study contributes to a deeper understanding of EV battery technology, facilitating informed decision-making, innovation, and sustainability in the transportation sector.
author2 Goh Wang Ling
author_facet Goh Wang Ling
Guerta, Uno Gabriel Yap
format Final Year Project
author Guerta, Uno Gabriel Yap
author_sort Guerta, Uno Gabriel Yap
title Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
title_short Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
title_full Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
title_fullStr Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
title_full_unstemmed Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
title_sort uncovering latent relationships among ev battery characteristics in ev battery products using topic modelling
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176269
_version_ 1814047399892484096