A Supervised Machine Learning Approach for Short-Term Forecasting and Demand Response Optimization for Enhancing Energy Flexibility in Smart home-Reference-Cited by-同舟云学术

A Supervised Machine Learning Approach for Short-Term Forecasting and Demand Response Optimization for Enhancing Energy Flexibility in Smart home

Published:2024-06-05 Issue: Volume:2 Page:600-605
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Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Glaret Subin P¹,Gomathy V²,Ramasamy Krishnakumar³,Dhivya R⁴,Arun Kumar U⁵,Shargunam S⁶

Affiliation:

1. SRM Institute of Science and Technology,Faculty of Engineering and Technology,Department of Electronics and Communication Engineering,Vadapalani Campus, Chennai,Tamilnadu,India,600026

2. Kathir College of Engineering,Department of EEE,Coimbatore,Tamilnadu,India,641062

3. Sri Ramakrishna Engineering College,Department of Electrical and Electronics Engineering,Coimbatore,Tamil Nadu,India,641022

4. M.Kumarasamy College of Engineering,Information Technology,Karur,Tamilnadu,India

5. Karpagam Academy of Higher Education,Department of Electrical and Electronics Engineering,Coimbatore,Tamil Nadu,India,641021

6. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Virudhunagar, Srivilliputhur,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575314.pdf?arnumber=10575314

Reference21 articles.

1. A smart framework for municipal solid waste collection management: A case study in Greater Cairo Region

2. Numerical simulation and experimental study for aerodynamic characteristics and powder transport behavior of novel nozzle

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4. Congestion control in Internet of Things: Classification, challenges, and future directions

5. End to End IoT Based Hazard Monitoring System