Eco-RETINA: a green flexible algorithm for model building

Javier Capilla, Alba Alcaráz, Angel Valarezo, Alfredo Garcia-Hiernaux and Teodosio Pérez-Amaral

33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times from International Telecommunications Society (ITS)

Abstract: Eco-RETINA is an innovative and eco-friendly algorithm explicitly designed for out-of-sample prediction. Functioning as a regression-based flexible approximator, it is linear in parameters but nonlinear in inputs, employing a selective model search to optimize performance. The algorithm adeptly manages multicollinearity, emphasizing speed, accuracy, and environmental sustainability. Its modular and transparent structure facilitates easy interpretation and modification, making it an invaluable tool for researchers in developing explicit models for out-of-sample forecasting. The algorithm generates outputs such as a list of relevant transformed inputs, coefficients, standard deviations, and confidence intervals, enhancing its interpretability.

JEL-codes: C14 C45 C51 C63 (search for similar items in EconPapers)
Date: 2025
New Economics Papers: this item is included in nep-ets and nep-for
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