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A Context-aware Predictive model to Optimize Energy Consumption in Residential Buildings
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-9607-9504
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-1470-6288
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-3122-693X
2022 (English)Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
2022.
Keywords [en]
Context-aware, Predictive model, LSTM, Transformer
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-119320OAI: oai:DiVA.org:oru-119320DiVA, id: diva2:1938079
Conference
Swedish AI Society (SAIS 2022), Stockholm, Sweden, June 13-14, 2022
Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-18Bibliographically approved

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A Context-aware Predictive model to Optimize Energy Consumption in Residential Buildings(919 kB)108 downloads
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4216b0e13950ffac76e99720a100a6cfac6ae568dff440e8cb28e412040162e74a1c75ff2c7aea169d5c8cccac289f18d6595502e9ef8b14003831692e157f2b
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Kalidindi, Sai Sushanth VarmaBanaee, HadiKlügl, FranziskaLoutfi, Amy

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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