A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

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-objective (MO) hybrid evolut...

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Bibliographic Details
Main Authors: Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:AI
Subjects:
forecasting
power consumption
hybrid evolutionary algorithm
multi-objective evolutionary algorithm
Online Access:https://www.mdpi.com/2673-2688/5/4/120
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