Research on optimal scheduling of integrated energy system based on improved multi-objective artificial hummingbird algorithm

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Detalles Bibliográficos
Publicado en:	PLoS One vol. 20, no. 6 (Jun 2025), p. e0325310
Autor principal:	Wei, Liming
Otros Autores:	Zhang, Fengyang
Publicado:	Public Library of Science
Materias:	Energy management Carbon emissions Algorithms Emissions trading Sustainable energy Energy efficiency Clean energy Multiple objective analysis Objectives Industrial plants Energy utilization Pareto optimum Energy consumption Carbon sequestration Efficiency Simplex method Environmental objective Economics Industrial parks Monte Carlo simulation Emissions Carbon Industrial areas Cooling Sustainable development Costs Genetic algorithms Integrated energy systems Renewable resources Optimization Alternative energy sources Demand side management Optimization algorithms Power dispatch Parks & recreation areas Economic
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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