The chapter delves into the intricate realm of astute energy management strategies by examining the amalgamation of blockchain, big data, Internet of Things (IoT) devices, and artificial intelligence (AI). By scrutinizing existing literature and patents in these interrelated domains, it endeavors to provide a holistic understanding of their interconnectedness and potential synergies. Within this framework, artificial intelligence models play a pivotal role in prognosticating energy consumption patterns and optimizing resource allocation for steadfast operational efficiency. Leveraging big data systems and data mining techniques enhances the precision of AI training, facilitating the discovery of novel functions and correlations. Furthermore, IoT platforms, spanning across cloud, fog, and edge levels, bolster intelligent energy management by streamlining data transmission and fostering seamless connectivity. The integration of blockchain technology augments data storage capabilities and facilitates energy trading, thereby amplifying the functionality of IoT devices. This orchestrated approach is imperative for propelling the energy sector towards a lower-carbon, more sustainable economy. In summation, the convergence of blockchain, big data analytics, IoT devices, and artificial intelligence heralds a new era of intelligent energy management.

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Blockchain-Enabled AI-Enhanced Sun Tracking System for Optimal Energy Management

  • Swati Sharma,
  • Vijay Kumar Sharma,
  • Punit Mittal

摘要

The chapter delves into the intricate realm of astute energy management strategies by examining the amalgamation of blockchain, big data, Internet of Things (IoT) devices, and artificial intelligence (AI). By scrutinizing existing literature and patents in these interrelated domains, it endeavors to provide a holistic understanding of their interconnectedness and potential synergies. Within this framework, artificial intelligence models play a pivotal role in prognosticating energy consumption patterns and optimizing resource allocation for steadfast operational efficiency. Leveraging big data systems and data mining techniques enhances the precision of AI training, facilitating the discovery of novel functions and correlations. Furthermore, IoT platforms, spanning across cloud, fog, and edge levels, bolster intelligent energy management by streamlining data transmission and fostering seamless connectivity. The integration of blockchain technology augments data storage capabilities and facilitates energy trading, thereby amplifying the functionality of IoT devices. This orchestrated approach is imperative for propelling the energy sector towards a lower-carbon, more sustainable economy. In summation, the convergence of blockchain, big data analytics, IoT devices, and artificial intelligence heralds a new era of intelligent energy management.