Grey Wolf Optimization-Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment-Reference-Cited by-同舟云学术

Grey Wolf Optimization-Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment

Published:2023 Issue: Volume:11 Page:114917-114935
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Singh Tarana¹,Solanki Arun¹,Sharma Sanjay Kumar¹,Jhanjhi N. Z.²^ORCID,Ghoniem Rania M.³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, School of Information and Communication Technology, Gautam Buddha University, Greater Noida, India

2. School of Computer Science, SCS Taylor's University, Subang Jaya, Malaysia

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10238710.pdf?arnumber=10238710

Reference61 articles.

1. Smart home energy management systems: Concept, configurations, and scheduling strategies

2. Deep learning for estimating building energy consumption

3. Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach

4. A fuzzy hierarchical operator in the grey wolf optimizer algorithm

5. Fuzzy energy management controller and scheduler for smart homes

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