Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance

Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance

Improving energy efficiency in buildings is a challenge during operation and maintenance. The work proposes a cloud artificial intelligence-based building energy management (cloud AI-BEM) system for predicting building energy consumption. The proposed system includes the data layer, the AI-analytics...

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Bibliographic Details
Main Authors: Ngoc-Tri Ngo, Ngoc-Son Truong, Thi Thu Ha Truong, Anh-Duc Pham, Nhat-To Huynh
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
data-driven analytics
building energy efficiency
artificial intelligence
machine learning
building energy management system
Online Access:http://dx.doi.org/10.1080/13467581.2023.2223587

Internet

http://dx.doi.org/10.1080/13467581.2023.2223587

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