Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization

The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders. Precise Electricity Price Forecasting (EPF) plays a pivotal role in enabling energy suppliers to optimize their biddin...

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Bibliographic Details

Published in:	International Journal of Electrical Power & Energy Systems
Main Authors:	Hamza Mubarak, Abdallah Abdellatif, Shameem Ahmad, Mohammad Zohurul Islam, S.M. Muyeen, Mohammad Abdul Mannan, Innocent Kamwa
Format:	Article
Language:	English
Published:	Elsevier 2024-10-01
Subjects:	Electricity price forecasting Deep learning Bidirectional long short-term memory Autoregressive Convolutional Neural Network Hyperparameter Optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061524004277