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A bottom-up framework for analysing city-scale energy data using high dimension reduction techniques

  • Published:2023-02 Issue: Volume:89 Page:104323
  • ISSN:2210-6707
  • Container-title:Sustainable Cities and Society
  • language:en
  • Short-container-title:Sustainable Cities and Society

Author:

Khan WaqasORCID,Walker ShalikaORCID,Zeiler Wim

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Eindhoven University of Technology

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference63 articles.

1. Obstacles in energy planning at the urban scale;Cajot;Sustainable Cities and Society,2017

2. Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management?;Madlener;Sustainable Cities and Society,2011

3. Urban micro-climate prediction through long short-term memory network with long-term monitoring for on-site building energy estimation;Zhang;Sustainable Cities and Society,2021

4. Study on the effective integration of distributed energy resources for providing flexibility to the electricity system;Damsgaard,2015

5. The good, the bad, and the ugly: Data-driven load profile discord identification in a large building portfolio;Park;Energy and Buildings,2020

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1. Review of High-Dimensional and Complex Data Visualization;2023 International Conference of Computer Science and Information Technology (ICOSNIKOM);2023-11-10

2. Renovation assessment of building districts: Case studies and implications to the positive energy districts definition;Energy and Buildings;2023-10
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