A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption-Reference-Cited by-同舟云学术

A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption

Published:2024-07 Issue: Volume:160 Page:111711
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Iruela J.R.S.,Ruiz L.G.B.^ORCID,Criado-Ramón D.^ORCID,Pegalajar M.C.^ORCID,Capel M.I.

Funder

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference44 articles.

1. Role of energy storage systems in energy transition from fossil fuels to renewables;Kalair;Energy Storage,2021

2. Coronavirus optimization algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model;Martínez-Álvarez;Big Data,2020

3. The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective;Nerlinger;Finance Res. Lett.,2022

4. Advances on mechanics, design engineering and manufacturing: Proceedings of the international joint conference on mechanics, design engineering & advanced manufacturing (JCM 2016), 14–16 september, 2016, catania, Italy;Eynard,2017

5. The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency;Sardianos;Int. J. Intell. Syst.,2021

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