Research on the optimization of intelligent electricity billing consolidation and the expansion of refund services based on deep learning

Ye Chen, Fan Wu, Yue Wang, Jingyan Shi, Kun Wang and Bo Zhang

International Journal of Low-Carbon Technologies, 2025, vol. 20, 9-31

Abstract: The rapidly expanding electrical sector urgently requires more effective strategies for electricity fee management. This article designs and implements an intelligent billing management system based on the service-oriented architecture. Additionally, this research proposes a predictive model based on deep learning that integrates a cascaded model utilizing particle swarm optimization, self-organizing maps, and bidirectional gated recurrent units algorithms to accurately forecast electricity revenue and refund scenarios. Experimental results demonstrate the superior accuracy and efficiency of this integrated model.

Keywords: utility bill management; forecasting models; SOM; BiGRU (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:9-31.

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