Deployment of ML Techniques for Optimization of Energy in Residential & Commercial Structures: A Review-Reference-Cited by-同舟云学术

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Deployment of ML Techniques for Optimization of Energy in Residential & Commercial Structures: A Review

Published:2024-02-09 Issue: Volume: Page:1112-1115
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
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Author:

Mahajan Prerna¹,Dahiya Priya²,Upadhyay Rimpi³

Affiliation:

1. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

2. Noida Institute of Engineering and Technology,Department of Artificial Intelligence,Greater Noida,Uttar Pradesh,India

3. Tula’s Institute,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486484.pdf?arnumber=10486484

Reference36 articles.

1. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

2. A short-term building cooling load prediction method using deep learning algorithms

3. Temporal knowledge discovery in big BAS data for building energy management

4. The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings

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