Query-adaptive training data recommendation for cross-building predictive modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-022-01771-9.pdf
Reference95 articles.
1. Seyedzadeh S, Rahimian FP, Glesk I, Roper M (2018) Machine learning for estimation of building energy consumption and performance: a review. Vis Eng 6(1):5
2. Bourdeau M, Qiang Zhai X, Nefzaoui E, Guo X, and Chatellier P, (2019) Modeling and forecasting building energy consumption: a review of data-driven techniques. Sustain Cities Soc 48:101533
3. Deb C, Zhang F, Yang J, Lee SE, Shah KW (2017) A review on time series forecasting techniques for building energy consumption. Renew Sustain Energy Rev 74:902–924
4. Apanaviciene R, Vanagas A, Fokaides PA (2020) Smart building integration into a smart city (SBISC): Development of a new evaluation framework. Energies 13(9):2190
5. Runge J, Zmeureanu R (2019) Forecasting energy use in buildings using artificial neural networks: a review. Energies 12(17):3254
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