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Jan 19, 2020 ¡¤ Further study will seek to improve the forecasting accuracy of such simple and cost-efficient methods by combining the measurements of a sample ...
Zhao, ¡°A short-term building cooling load prediction method using deep learning algorithms,¡± Appl. Energy, vol. 195, pp. 222–233, Jun. 2017. [12] P. de ...
At last, the method is validated based on the history data in a certain area. The prediction result with high accuracy shows clear intuitive and powerful ...
New modeling techniques could be applied to rectify these weaknesses. Applying data from 45 different manufacturing plants obtained from industrial energy ...
the output (i.e. building energy consumption/demand) by a scoring function. ... Zhao, ¡°A short-term building cooling load prediction method using deep learning ...
It is of great significance to achieve the prediction of building energy consumption. However, machine learning, as a promising technique for many practical ...
Using SVM's as a method of building energy consumption regression has recently become popular in energy modeling literature (Ahmad et al. 2014). Ahmad ...
Jun 13, 2024 ¡¤ Olu-Ajayi et al. presented a comparison between nine machine learning techniques for predicting annual energy consumption using a large dataset ...
... load impact profiles by using analytical modeling methods and building ... forecast based on observed whole-building energy use on an annual basis, thereby.
BLAST-3.0 represents a considerable rewrite from BLAST-2MRT. In the Phase II study,. BLAST-3.0 is consistently low in annual heating load prediction. However ...