Hierarchical Deep Learning Framework for Multi-Scale Energy Modeling in Smart Building Environments-Reference-Cited by-同舟云学术

Hierarchical Deep Learning Framework for Multi-Scale Energy Modeling in Smart Building Environments

Published:2024-04-24 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Raj J. Relin Francis¹,Nikshya J. Ebens²,Vinothini S.³,Umesh R⁴,Krishnan R. Santhana²,Gopikumar S.⁵

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai,India

2. SCAD College of Engineering and Technology,Department of Electronics and Communication Engineering,Cheranmahadevi,India

3. PSNA College of Engineering and Technology,Department of Computer Applications,Dindigul,India

4. Velammal College of Engineering and Technology,Department of Information Technology,Madurai,India

5. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Civil Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543255/10544376/10544885.pdf?arnumber=10544885

Reference19 articles.

1. Deep Learning in Energy Modeling: Application in Smart Buildings With Distributed Energy Generation

2. Smart home energy management system including renewable energy based on ZigBee and PLC

3. Hybrid renewable energy systems for renewable integration in microgrids: Influence of sizing on performance

4. Improving the energy sustainability of a Swiss village through building renovation and renewable energy integration

5. Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

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