Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance-Reference-Cited by-同舟云学术

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

Published:2023-06-11 Issue:1 Volume:23 Page:264-281
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Ngo Ngoc-Tri¹,Truong Ngoc-Son¹,Truong Thi Thu Ha²,Pham Anh-Duc¹,Huynh Nhat-To¹

Affiliation:

1. Faculty of Project Management, The University of Danang - University of Science and Technology, Vietnam

2. Department of Civil Engineering, The University of Danang – University of Technology and Education, Da Nang City, Vietnam

Funder

Vingroup Innovation Foundation

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2023.2223587

Reference61 articles.

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2. Energy Management Model for a Standalone Hybrid Microgrid through a Particle Swarm Optimization and Artificial Neural Networks Approach

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4. A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid

5. A review of data-driven building energy consumption prediction studies

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