المؤلفون: Kuivjõgi, Helena, Vasman, Sofia, Petlenkov, Eduard, Thalfeldt, Martin, Kurnitski, Jarek

المساهمون: European Commission Reforming and enhancing the European Research and Innovation system, Estonian Research Council, European Commission, Ministry of Education and Research

المصدر: Journal of Building Engineering ; volume 98, page 111016 ; ISSN 2352-7102

الاتاحة: https://doi.org/10.1016/j.jobe.2024.111016
https://api.elsevier.com/content/article/PII:S2352710224025841?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2352710224025841?httpAccept=text/plain

المؤلفون: Kuivjõgi, Helena, Vasman, Sofia, Petlenkov, Eduard, Thalfeldt, Martin, Kurnitski, Jarek

المساهمون: Department of Civil Engineering, Performance in Building Design and Construction, Tallinn University of Technology, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Commercial building, Data-driven, Degree-days, Electricity energy use, Energy use baseline, Energy use prediction, Heating energy use, Machine learning, Metered data, Seasonal differentiations

وصف الملف: application/pdf

Relation: Journal of Building Engineering; Volume 98; PURE LINK: http://www.scopus.com/inward/record.url?scp=85206435299&partnerID=8YFLogxK; https://aaltodoc.aalto.fi/handle/123456789/131444

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/131444
https://doi.org/10.1016/j.jobe.2024.111016