Virtual Wind Tower Siting Method Based on Multi-Objective Mayfly Optimization Algorithm

This study proposes a virtual wind tower siting model using a Multi-Mayfly Optimization Algorithm (M-MOA) to address inefficiencies in renewable energy planning. By integrating wind speed, geographic constraints (urban areas, roads, landscapes), and turbine layout, candidate sites are screened. The...

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Veröffentlicht in:	Proceedings (International Conference on Computer Engineering and Applications. Online) S. 656 - 659
Hauptverfasser:	Duan, Junhong, Song, Jun, Niu, Wei, Zhang, Hailong, Tu, Chao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.04.2025
Schlagworte:	Costs Genetic algorithms Loss measurement Multi-Mayfly optimization algorithm Optimization Planning Poles and towers Renewable energy Renewable energy sources Site selection Urban areas Wind energy Wind speed Wind tower
ISSN:	2159-1288
Online-Zugang:	Volltext
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