TriChronoNet: Advancing electricity price prediction with Multi-module fusion

• Published in: Applied energy Vol. 371; p. 123626
• Main Authors: He, Miao, Jiang, Weiwei, Gu, Weixi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2024
• Subjects: domain; electricity; electricity costs; Electricity price prediction; energy; Feature augmentation; markets; Multi-module fusion; Neural network method; prediction; prices; time series analysis; Neural network method; Feature augmentation; Multi-module fusion; Electricity price prediction
• ISSN: 0306-2619
• DOI: 10.1016/j.apenergy.2024.123626

This study introduces a novel architecture for electricity price forecasting, comprising four modules designed for prediction and information fusion. Three modules are dedicated to preliminary price prediction, while the fourth integrates information from prior predictions to generate final forecast...