Efficient Optimization of Energy Consumption at Home through Machine Learning-Reference-Cited by-同舟云学术

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Efficient Optimization of Energy Consumption at Home through Machine Learning

Published:2024-01-18 Issue: Volume:279 Page:109-114
ISSN:
Container-title:2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)
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Author:

N Sharada Prasad¹,Shree M S Lakshmi²,S Manjunatha²,Vekariya Vipul³,Benal Ganga D²,Patil Harshal⁴

Affiliation:

1. RNS Institute of Technology,Department of Electrical and Electronics Engineering,Bangalore,Karnataka,India,560098

2. Cambridge Institute of Technology,Department of Computer Science and Engineering,Bangalore,Karnataka,India,560036

3. Parul University,Faculty of Engineering and Technology, Parul Institute of Engineering and Technology,Department of Computer Science and Engineering,Waghodia,Gujarat,India,391760

4. Symbiosis International (Deemed University),Computer Science and Engineering, Symbiosis Institute of Technology,Pune,Maharashtra,India,412115

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493857/10493205/10493935.pdf?arnumber=10493935

Reference15 articles.

1. The Internet of Things

2. Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

3. Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm

4. Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

5. IoT Task Management Mechanism Based on Predictive Optimization for Efficient Energy Consumption in Smart Residential Buildings

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