Fujitsu North America Inc, Senior Solutions Architect (For Emerging Solutions), United States of America.
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 3137-3152
Received on 21 May 2024; revised on 17 July 2024; accepted on 22 July 2024
Modern SDT technology is gearing up to change utility management service paradigms for better and more efficient operational management, performance optimization of assets, and improved service deliveries. By combining AI, IoT, and big data analytics with real-time monitoring, predictive maintenance, and proactive-decision-making, SDTs create digital twins of physical utilities that make strategic asset management even better and more resilient through seamless data analysis. Reinforcement learning, blockchain, and decentralized cloud computing help to support the application of SDT by increasing the security, transparency, and access with which it can be accessed. Billions of investments in technology such as SDT will also require mitigation against some other challenges such as bad staffing and skills shortage, cybersecurity risks, and regulatory hurdles. Future developments in AI-driven automation, quantum computing, and Infrastructure for sustainable technology will all affect how SDTs transform into core modernization instruments of utility operations in the future. Setting up careful regulation frameworks, facilitating interdisciplinary collaborations, and investing into workforce training create the key openings for tapping the complete potential of SDT technology. These smart innovations, in turn, make utility reactive, more efficient, cost-saving, and building smarter resilience systems.
Social Digital Twin; Utility Management; Artificial Intelligence; Internet of Things; Predictive Maintenance; Blockchain; Reinforcement Learning; Quantum Computing; Cybersecurity; Infrastructure Resilience
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Dippu Kumar Singh. Utility field investigation reinvented: The rise of the social digital twin. World Journal of Advanced Research and Reviews, 2024, 23(1), 3137-3152. Article DOI: https://doi.org/10.30574/wjarr.2024.23.1.1967