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AI-Driven Modeling of the Energy Transition in the SPRING-F Group: A Hybrid Panel ARDL and Machine Learning Approach

This study analyses the dynamics of the energy transition within the SPRING-F group (Spain, Poland, Romania, Italy, the Netherlands, Germany, France) through a hybrid approach that combines econometric panel ARDL models with machine learning algorithms. The analysis is based on energy, economic, and...

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Автори: Ionuț Nica, Camelia Delcea, Nora Chiriță, Ștefan Ionescu
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2026-01-01
Серія:Applied Sciences
Предмети:
energy transition
renewable energy consumption
panel ARDL
machine learning
nonlinear models
EU’s core-periphery model
Онлайн доступ:https://www.mdpi.com/2076-3417/16/2/1044
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