Artificial Intelligence Techniques Based Energy Prediction Analysis and Load Forecasting Using a Dynamic Website-Reference-Cited by-同舟云学术

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Artificial Intelligence Techniques Based Energy Prediction Analysis and Load Forecasting Using a Dynamic Website

Published:2023-12-18 Issue: Volume: Page:535-540
ISSN:
Container-title:2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM)
language:
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Author:

R Ramesh¹,S Dharani²,A Asuvanti M³,Gowrijayasree Gowrijayasree²,U Indhu Rekha⁴

Affiliation:

1. Bannari Amman Institute of Technology,Department of Electronics and Communication Engineering

2. Dr. Mahalingam College of Engineering and Technology,Department of Electronics and Communication Engineering

3. Sengunthar Engineering College,Department of Electronics and Communication Engineering

4. Bannari Amman Institute of Technology,Department of Artificial Intelligence and Data Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434934/10434939/10435264.pdf?arnumber=10435264

Reference18 articles.

1. Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction

2. Electricity Consumption Forecasting Using Gated-FCN With Ensemble Strategy

3. Genetic Algorithm Based Optimized Feature Engineering and Hybrid Machine Learning for Effective Energy Consumption Prediction

4. A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

5. Forecasting the Short-Term Electricity Consumption of Building Using a Novel Ensemble Model

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