Integration of Convolutional Neural Network and Support Vector Regression for Electricity Price Forecasting-Reference-Cited by-同舟云学术

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Integration of Convolutional Neural Network and Support Vector Regression for Electricity Price Forecasting

Published:2023-12-08 Issue: Volume:19 Page:1-5
ISSN:
Container-title:2023 Innovations in Power and Advanced Computing Technologies (i-PACT)
language:
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Author:

Iqbal Rashed¹,Mokhlis Hazlie²,Mohd Khairuddin Anis Salwa²,Mansor Nurulafiqah Nadzirah²,Mohamad Zahari Nur Elida²,Sankaranarayanan Suresh³

Affiliation:

1. School of Electrical, Computer and Telecommunications Engineering University of Wollongong,NSW,Australia

2. Universiti Malaya,Faculty of Engineering,Department of Electrical Engineering,Kuala Lumpur,Malaysia

3. King Faisal University,Department of Computer Science,Kingdom of Saudi Arabia

Funder

Universiti Malaya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433943/10433945/10434416.pdf?arnumber=10434416

Reference25 articles.

1. Optimized Gated Recurrent Unit for Mid-Term Electricity Price Forecasting

2. A combined deep learning application for short term load forecasting

3. A methodology for Electric Power Load Forecasting

4. Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market

5. An Improved Deep Learning Model for Electricity Price Forecasting

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