Smart energy management: real-time prediction and optimization for IoT-enabled smart homes-Reference-Cited by-同舟云学术

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Smart energy management: real-time prediction and optimization for IoT-enabled smart homes

Published:2024-08-14 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

G Karuna¹,Ediga Poornima¹,S Akshatha¹,P Anupama¹,T Sanjana¹,Mittal Aman²,Rajvanshi Saurabh³,Habelalmateen Mohammed I.⁴

Affiliation:

1. Department of AIML, GRIET, Hyderabad, India

2. School of Business, Lovely Professional University, Phagwara, India

3. Department of Engineering, Uttaranchal University, Dehradun, India

4. Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University Technical Engineering College, Najaf, Iraq

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2390674

Reference22 articles.

1. Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services

2. Alimi, O., & Ouahada, K. (2018). Smart home appliances scheduling to manage energy usage. In 2018 IEEE 7th International Conference on Adaptive Science & Technology (ICAST) (pp. 1–5). IEEE.

3. Integrated agent-based home energy management system for smart grids applications

4. User Preference-Based Demand Response for Smart Home Energy Management Using Multiobjective Reinforcement Learning

5. Fioretto, F., Yeoh, W., & Pontelli, E. (2017). A multiagent system approach to scheduling devices in smart homes. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 981–989). International Foundation for Autonomous Agents and Multiagent Systems.

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