Work

The technological assessment of green buildings using artificial neural networks

Year: 2024

Type: article

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.

Source: Heliyon

DOI: 10.1016/j.heliyon.2024.e36400

Author: Ying Huang

Institution: Putian University

Language: English

Topic: Sustainable Building Design and Assessment

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,100