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Our findings have several important implications. First, for Energy-Efficient Scheduling: accurate load-dependent models enable optimised resource allocation in optical-wireless networks. Second, for Network Budget Estimation: realistic power profiles improve energy cost projections for hybrid deployments. Third, for Sleep Mode Optimisation: understanding saturation informs better ONU sleep and wake strategies. Finally, it supports evidence-based Green ICT Policy aligned with national sustainability goals. |