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

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Bibliografiska uppgifter
I publikationen:	PLoS One vol. 20, no. 6 (Jun 2025), p. e0325310
Huvudupphov:	Wei, Liming
Övriga upphov:	Zhang, Fengyang
Utgiven:	Public Library of Science
Ämnen:	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
Länkar:	Citation/Abstract Full Text Full Text - PDF
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