A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

Energy-efficiency is one of the critical issues in smart cities. It is an essential basis for optimizing smart cities planning. This study proposed four new artificial intelligence (AI) techniques for forecasting the heating load of buildings’ energy efficiency based on the potential of ar...

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Bibliographic Details
Main Authors: Le Thi Le, Hoang Nguyen, Jie Dou, Jian Zhou
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
smart building
meta-heuristic algorithm
heating load
smart city
hybrid model
Online Access:https://www.mdpi.com/2076-3417/9/13/2630

Internet

https://www.mdpi.com/2076-3417/9/13/2630

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