Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach

Accurate prediction of electricity price (EP) is crucial for energy utilities and grid operators for enhancing the energy trading, grid stability studies, resource allocations and pricing strategies, thereby improving the overall grid reliability, efficiency, and cost-effectiveness. This study intro...

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Bibliographic Details
Main Authors:	Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, Hangyue Liu, David Casillas-Pérez, Andreas Helwig, Salvin S. Prasad, Jorge Pérez-Aracil, Prabal Datta Barua, Sancho Salcedo-Sanz
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Series:	Energy and AI
Subjects:	Tabular neural network SHAP Optuna algorithm Deep learning Machine learning Convolutional neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546825000242
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Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach

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