The technological assessment of green buildings using artificial neural networks
Ying‐Sheng Huang
Abstract
values of approximately 7 percentage points. These findings indicate that by amalgamation of the IoT and ANNs, this study successfully establishes a comprehensive model for accurately assessing technologies suitable for green buildings. This approach offers a novel perspective and methodology for the design and evaluation of green buildings.
Topics & Concepts
Artificial neural networkEngineeringArtificial intelligenceArchitectural engineeringComputer scienceSustainable Building Design and AssessmentAir Quality Monitoring and ForecastingBuilding Energy and Comfort Optimization