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Using Topic Modeling to Characterize Positive Energy District (PED) Projects
Dalarna University, School of Information and Engineering.
2023 (English)Independent thesis Advanced level (degree of Master of Fine Arts (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Following the increased implementation of the Positive Energy Districts (PEDs) in line with European Union plans to accelerate transition to sustainable, renewable energy system, it is pertinent for stakeholders to have common defining framework to facilitate seamless replication and harness the full potentials of this innovative concept to achieve the energy transition objectives. This study looks at the common features and characterizes the PED concept using text data from (1) online sources about various PED projects at different stages of implementation and, (2) Portable Document Format (PDF) files containing project specific information. The study utilizes text mining and topic modelling methods of Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) to identify latent topics in the PED concept. The study revealed six latent topics (a) social development, (b) environment and technologies, (c) implementation, (d) research, (e) event participation, and (f) other social aspects that can be consolidated into the reference framework and offering valuable resource for researchers, policymakers, and urban planners working on PED related initiatives.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Positive Energy District, Topic Modelling, Latent Dirichlet Allocation, Non-Negative Matrix Factorization, Text Mining, Grid Search
National Category
Energy Engineering Energy Systems
Identifiers
URN: urn:nbn:se:du-49777OAI: oai:DiVA.org:du-49777DiVA, id: diva2:1918404
Subject / course
Microdata Analysis
Available from: 2024-12-05 Created: 2024-12-05 Last updated: 2025-10-09

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf