A Transfer Learning Approach to Create Energy Forecasting Models for Building Fleets Show others and affiliations
2024 (English) In: 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), IEEE, 2024, p. 438-444Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages IEEE, 2024. p. 438-444
Series
IEEE International Conference on Smart Grid Communications, ISSN 2373-6836, E-ISSN 2474-2902
Keywords [en]
Building fleet, Energy consumption, Transfer learning, LSTM, DTW, Hierarchical clustering, Time series forecasting
National Category
Computer Sciences
Research subject Pervasive Mobile Computing
Identifiers URN: urn:nbn:se:ltu:diva-110870 DOI: 10.1109/SmartGridComm60555.2024.10738094 OAI: oai:DiVA.org:ltu-110870 DiVA, id: diva2:1916837
Conference 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), September 17-20, 2024, Oslo, Norway
Note ISBN for host publication: 979-8-3503-1855-5;
Funder: European Commission (grant number 610619-EPP-1-2019-1-FREPPKA1-JMD-MOB), (EMJMD GENIAL Project);
2024-11-282024-11-282024-11-28 Bibliographically approved