Publisher
Springer International Publishing
Reference12 articles.
1. Wang, L., Liu, X., Brown, H.: Prediction of the impacts of climate change on energy consumption for a medium-size office building with two climate models. Energy Build. 157, 218–226 (2017)
2. Nam, Chul, Seong, et al.: Development of optimization algorithms for be model using artificial neural networks. J. Korean Soc. Living Environ. Syst. 24(1), 29–36 (2017)
3. Bedi, G., Venayagamoorthy, G.K., Singh, R.: Development of an IoT driven building environment for prediction of electric energy consumption. IEEE Internet Things J. 99, 1 (2020)
4. Jarošová, P., Vala, J., et al.: Computational prediction and control of energy consumption for heating in building structures. AIP Conf. Proc. 1863(1), 1–4 (2017)
5. Sun, L., Wei, Q., He, L., et al.: The prediction of building heating and ventilation energy consumption base on Adaboost-bp algorithm. IOP Conf. Ser. Mat. Sci. Eng. 782(3), 032008 (5pp) (2020)