Multi-strategy Hybrid Coati Optimizer: A Case Study of Prediction of Average Daily Electricity Consumption in China

The power sector is an important factor in ensuring the development of the national economy. Scientific simulation and prediction of power consumption help achieve the balance between power generation and power consumption. In this paper, a Multi-strategy Hybrid Coati Optimizer (MCOA) is used to opt...

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Veröffentlicht in:	Journal of bionics engineering Jg. 21; H. 5; S. 2540 - 2568
Hauptverfasser:	Hu, Gang, Wang, Sa, Houssein, Essam H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.09.2024 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Biochemical Engineering Bioinformatics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Combinatorial analysis Electricity Electricity consumption Engineering Evolutionary computation Optimization models Parameters Power consumption Predictions Research Article Forecast of average daily electricity consumption in China Coati optimization algorithm Three-parameter combination optimization model Circle chaotic mapping
ISSN:	1672-6529, 2543-2141
Online-Zugang:	Volltext
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