A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks-Reference-Cited by-同舟云学术

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A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks

Published:2024-07-01 Issue:13 Volume:11 Page:23630-23643
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Priyadarsini K.¹^ORCID,Sekhar Karthik²^ORCID,Sekhar Praveen Kumar³^ORCID

Affiliation:

1. Department of Data Science and Business Systems, Faculty of Engineering and Technology, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India

2. Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India

3. School of Engineering and Computer Science, Washington State University Vancouver, Vancouver, WA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10570342/10496478.pdf?arnumber=10496478

Reference56 articles.

1. Green smart grid predictive analysis to integrate sustainable energy of emerging V2G in smart city technologies

2. Short term load forecasting based on ARIMA and ANN approaches

3. Load Forecasting Techniques and Their Applications in Smart Grids

4. Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network Based on ConvLSTM and BiConvLSTM Architectures

5. Load forecasting for demand side management in smart grid using non-linear machine learning technique;Bharathi;Int. J. Comput. Dig. Syst.,2023

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