Predictive Modelling for Heating and Cooling Load Systems of Residential Building-Reference-Cited by-同舟云学术

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Predictive Modelling for Heating and Cooling Load Systems of Residential Building

Published:2024-03-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
language:
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Author:

Tiwari Sharad Kumar¹,Kaur Jaskirat²,Kaur Ramanpreet³

Affiliation:

1. Vignan's Foundation for Science, Technology & Research,Department of Electronics & Communication,Vadlamudi,India

2. Punjab Engineering College (Deemed to be University),Department of Electronics & Communication,Chandigarh,India

3. Chandigarh Engineering College,Department of Electronics & Communication,Mohali,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10503016.pdf?arnumber=10503016

Reference19 articles.

1. A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

2. Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

3. Energy Efficiency Modeling Using Whale Optimization Algorithm and Ensemble Model

4. A meta-learning classification model for supporting decisions on energy efficiency investments

5. Energy Efficiency Prediction using Artificial Neural Network;Khalil,2019

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