Development of a Methodology for Estimating the Heat Loss of Buildings based on Neural Networks
Author:
Affiliation:
1. Northern (Arctic) Federal University,Informational Systems and Informational Security Dept.,Arkhangelsk,Russian Federation
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10138906/10138948/10139124.pdf?arnumber=10139124
Reference17 articles.
1. Modeling and forecasting building energy consumption: A review of data-driven techniques
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3. Evaluation tool for the thermal performance of retrofitted buildings using an integrated approach of deep learning artificial neural networks and infrared thermography
4. Comparison of ground coupled heat transfer models for predicting underground building energy consumption
5. A method for analyzing complex structured data with elements of machine learning
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