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

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Veröffentlicht in:	PLoS One vol. 20, no. 6 (Jun 2025), p. e0325310
1. Verfasser:	Wei, Liming
Weitere Verfasser:	Zhang, Fengyang
Veröffentlicht:	Public Library of Science
Schlagworte:	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
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