crossrefAI2024-11-19Cited by 5
A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting
Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen
Accurately forecasting power consumption is crucial important for efficient energy management. Machine learning (ML) models are often employed for this purpose. However, tuning their hyperparameters is a complex and time-consuming task. The article presents a novel multi-objectiv…