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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書誌詳細

出版年:	AI
主要な著者:	Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-11-01
主題:	forecasting power consumption hybrid evolutionary algorithm multi-objective evolutionary algorithm
オンライン･アクセス:	https://www.mdpi.com/2673-2688/5/4/120