Hybrid GRU-EKAN model for short-term load forecasting of industrial air compressors

Key Points

• Load forecasting accuracy improved using a hybrid GRU-EKAN model—achieving notable performance metrics.
• The model's effectiveness was demonstrated through various evaluations, accounting for fluctuations in demand.
• Analysis incorporated machine learning techniques focusing on both short-term and long-term forecasting challenges.
• Highlighting the need for efficient forecasting to optimize operations and reduce costs in industrial settings.