Automatic Evolutionary Settings of Machine Learning Methods for Buildings’ Thermal Loads Prediction

Author:

Goulart Tavares GiseleORCID,Capriles Priscila V. Z.ORCID,Goliatt LeonardoORCID

Publisher

Springer International Publishing

Reference27 articles.

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3. Boermans, T., Grözinger, J.: Economic effects of investing in EE in buildings - the beam2 model. Background paper for EC Workshop on Cohesion policy (2011)

4. Touzani, S., Granderson, J., Fernandes, S.: Gradient boosting machine for modeling the energy consumption of commercial buildings. Energy Buildings 158, 1533–1543 (2018)

5. Wang, Z., Srinivasan, R.S., Shi, J.: Artificial intelligent models for improved prediction of residential space heating. J. Energy Eng. 142(4), 04016006 (2016)

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