A Forecasting Model for the Energy Requirements of an Office Building Based on Energy Modeling and Machine Learning Models – A Case Study of Morocco-Reference-Cited by-同舟云学术

A Forecasting Model for the Energy Requirements of an Office Building Based on Energy Modeling and Machine Learning Models – A Case Study of Morocco

Published:2023 Issue: Volume: Page:169-178
ISSN:2367-3370
Container-title:Digital Technologies and Applications
language:
Short-container-title:

Author:

Boumais Khaoula^ORCID,Messaoudi Fayçal^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-29860-8_18

Reference18 articles.

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2. Ryu, S.H., Moon, H.J.: Development of an occupancy prediction model using indoor environmental data based on machine learning techniques. Build. Environ. 107, 1–9 (2016)

3. Esrafilian-Najafabadi, M., Haghighat, F.: Impact of occupancy prediction models on building HVAC control system performance: application of machine learning techniques. Energy Build. 257, 111808 (2022)

4. De Bock, Y., Auquilla, A., Bracquené, E., Nowé, A., Duflou, J.R.: The energy saving potential of retrofitting a smart heating system: a residence hall pilot study. Sustain. Comput. Inform. Syst. 31, 100585 (2021)

5. Qavidel Fard, Z., Zomorodian, Z.S., Korsavi, S.S.: Application of machine learning in thermal comfort studies: a review of methods, performance and challenges. Energy Build. 256, 111771 (2022)

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