Optimizing sustainable building retrofits with Emperor Penguin Optimization: a machine-learning approach for energy consumption prediction
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-00985-2.pdf
Reference44 articles.
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3. Ardabili, S., Mosavi, A., & Varkonyi-Koczy, A. (2020). Building energy information: demand and consumption prediction with machine learning models for sustainable and smart cities. 191–201. https://doi.org/10.1007/978-3-030-36841-8_19.
4. Asadi, E., Silva, M., Antunes, C., Dias, L., & Glicksman, L. (2014). Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings, 81, 444–456. https://doi.org/10.1016/j.enbuild.2014.06.009
5. Benzar, B., Park, M., Lee, H., Yoon, I., & Cho, J. (2020). Determining retrofit technologies for building energy performance. Journal of Asian Architecture and Building Engineering, 19(4), 367–383.
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