A backpropagation neural network improved by a genetic algorithm for predicting the mean radiant temperature around buildings within the long-term period of the near future
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy (miscellaneous),Building and Construction
Link
https://link.springer.com/content/pdf/10.1007/s12273-021-0823-6.pdf
Reference65 articles.
1. Abdul-Wahab SA, Bakheit CS, Al-Alawi SM (2005). Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environmental Modelling & Software, 20: 1263–1271.
2. Alam S, Kaushik SC, Garg SN (2009). Assessment of diffuse solar energy under general sky condition using artificial neural network. Applied Energy, 86: 554–564.
3. Cai H, Jia X, Feng J, et al. (2019). A combined filtering strategy for short term and long term wind speed prediction with improved accuracy. Renewable Energy, 136: 1082–1090.
4. Cao X, Liu Y, Wang J, et al. (2020). Prediction of dissolved oxygen in pond culture water based on K-means clustering and gated recurrent unit neural network. Aquacultural Engineering, 91: 102122.
5. Chan T-S, Chang Y-C, Huang J (2017). Application of artificial neural network and genetic algorithm to the optimization of load distribution for a multiple-type-chiller plant. Building Simulation, 10: 711–722.
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