AI-Driven Smart Meters: A Pathway to Improved Customer Experience

Authors

  • Emily Harris Associate Professor of Artificial Intelligence and Smart Systems School of Engineering and Computer Science University of Birmingham, Birmingham, UK
  • James Walker Senior Lecturer in Data Science and Analytics Department of Electrical and Electronic Engineering, Imperial College London, London, UK

Keywords:

AI-driven smart meters, energy management, customer experience, predictive analytics, sustainability

Abstract

AI-driven smart meters are revolutionizing the energy sector by enhancing customer experience through personalized and efficient energy management. These advanced devices leverage artificial intelligence to analyze real-time energy consumption data, providing consumers with insights into their usage patterns and enabling more informed decisions. By predicting energy demand and identifying inefficiencies, AI-driven smart meters empower users to optimize their energy consumption, reduce costs, and contribute to sustainability efforts. Additionally, the integration of AI enhances the accuracy of billing, reduces the need for manual meter readings, and enables proactive customer service, thus elevating the overall customer experience. This technological innovation represents a significant step towards a more customer-centric and efficient energy ecosystem.

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Published

2024-09-27

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