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Dec 15, 2021 ， M. Bourdeau et al. Modeling and forecasting building energy consumption: a review of datadriven techniques. Sustainable Cities Soc. (2019). Q ...
In 1995, Syed M. Islam [9] and colleagues leveraged feedforward neural networks to model and predict building thermal loads, laying a crucial groundwork for ...
Mihalakakou G, Santamouris M and Tsangrassoulis A (2002) On the energy consumption in residen- tial buildings. Energy and Buildings 34(7): 727–736. Moss GP ...
Oct 2, 2018 ， Generally, the energy consumption of building during a definite period normalised by floor area is used to express the performance (kWh/m2/ ...
R.E. Edwards et al. Predicting future hourly residential electrical consumption: A machine learning case study. Energy and Buildings. (2012). M. Ghiassi et al ...
Jan 28, 2019 ， Aydinalp M, Ugursal VI, Fung AS (2002) Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector ...
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Sep 14, 2024 ， ... M. Roper,. ＾Machine learning for estimation of building energy consump-. tion and performance: a review,￣Visualization in Engineering,. vol. 6 ...
The MAPE metric is conceptually very similar to the C V ( R M S E ) and is useful to compare prediction performance between signals of different mean magnitudes ...
Kalogirou S, Eftekhari M, Marjanovic-Halburd L (2001) Estimation of the daily heating and cooling loads using artificial neural networks. In: Proceedings of ...
Feb 9, 2024 ， In the formula, x ’ represents the value of a single data point, x m i n denotes the minimum value of the column containing the data, and x m a ...