Application of Bayesian Neural Networks for Indoor Temperature Time Series Forecasting-Reference-Cited by-同舟云学术

Application of Bayesian Neural Networks for Indoor Temperature Time Series Forecasting

Published:2024-01-29 Issue: Volume:44 Page:1-5
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
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Author:

N Ponnarasi¹,Prasad DVSSSV²,Jyothi Babu A.³,Revathi N.⁴,Kumar Ashok⁵,Balaji N. Alangudi⁶

Affiliation:

1. JKK Nattraja College of Engineering and Technology,Department of Electronics and Communication Engineering,Komarapalayam,India,638183

2. Aditya College of Engineering,Department of Mechanical Engineering,Surampalem,India,533437

3. School of Computing, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Tirupati,India,517102

4. Panimalar Engineering College,Department of Electronics and Communication Engineering,Chennai,India,600123

5. Banasthali Vidyapith,Department of Computer Science,Banasthali,India,304022

6. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vijayawada,India,522302

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470527.pdf?arnumber=10470527

Reference21 articles.

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4. European Committee for Standardization. En 15251 Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics;Eur Stand.,2012

5. Application of artificial neural network for predicting hourly indoor air temperature and relative humidity in modern building in humid region