Archimedes optimization algorithm based approaches for solving energy demand estimation problem: a case study of Turkey

Energy consumption is getting rising gradually around the planet. Therefore, the importance of energy management has increased for all nations worldwide, and long-term energy demand estimation is becoming a vital problem for all countries. In this study, linear, quadratic and exponential models base...

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Veröffentlicht in:	Neural computing & applications Jg. 35; H. 26; S. 19627 - 19649
1. Verfasser:	Aslan, Murat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.09.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Datasets Demand Energy consumption Energy management Image Processing and Computer Vision Imports Mathematical models Natural resources Optimization Original Article Parameter sensitivity Probability and Statistics in Computer Science Robustness (mathematics) Sensitivity analysis Turkey Long-term energy demand Archimedes optimization algorithm Quadratic model Linear regression model Energy forecasting
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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