Research on neural network optimization algorithm for building energy consumption prediction-Reference-Cited by-同舟云学术

Research on neural network optimization algorithm for building energy consumption prediction

Published:2018-08-07 Issue:3 Volume:18 Page:695-707
ISSN:1472-7978
Container-title:Journal of Computational Methods in Sciences and Engineering
language:
Short-container-title:JCM

Author:

Chen Song¹²³,Ren Ting-Ting¹,Wu Zhong-Cheng¹

Affiliation:

1. High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, Anhui, China

2. University of Science and Technology of China, Hefei, Anhui, China

3. College of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei, Anhui, China

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference21 articles.

1. C. Hu, K. Li, G. Liu and P. Lei, Forecasting building energy consumption based on hybrid PSO-ANN prediction model, Control Conference IEEE (2015), 8243–8247.

2. Using an improved back propagation neural network to study spatial distribution of sunshine illumination from sensor network data;Hu;Ecological Modelling,2013

3. Multi-model prediction and simulation of residential building energy in urban areas of chongqing, south west china;Farzana;Energy & Buildings,2014

4. Building’s electricity consumption prediction using optimized artificial neural networks and principal component analysis;Li;Energy & Buildings,2015

5. Temperature prediction of the molten salt collector tube using BP neural network;Ren;Renewable Power Generation Iet,2016

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