Electricity losses and environmental sustainability by using dynamic ARDL and KRLS

Experts and policymakers are gravely concerned about the relationship between energy losses and environmental sustainability. This study examines the relationship between increasing environmental sustainability, as shown by the load capacity factor influencing the lowering of energy losses, emphasizing the need to use efficient strategies and practices to accomplish these objectives. In this study, the Dynamic ARDL ( DARDL) method and Kernel-based Regularized Least Squares (KRLS) are used to look at how economic growth, electricity price, temperature, load shedding, and the global governance index affect Pakistan's electricity losses from 1960 to 2023. The results demonstrate that a reduction in energy loss is substantially facilitated by economic growth, environmental sustainability, and the world governance index. While Pakistan's electricity losses are significantly increased by the electricity price, temperature, and load shedding. Furthermore, the DARDL simulation results reveal an asymmetric effect of LCF on electricity losses where +10% shock to LCF reduces electricity transmission and distribution losses while a negative 10% shock increases electricity losses. The robustness of the DARDL estimations is confirmed by the KRLS analysis. The research emphasizes how important it is to maintain environmental sustainability in order to prevent electricity loss.

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