The convergence of blockchain, Internet of Things (IoT), and AI in microgrid networks is revolutionizing the energy sector by increasing efficiency, security, and reliability. IoT provides effortless communication among distributed energy resources, sensors, and smart meters, enabling real-time data sharing, predictive analytics, and self-decision-making. With blockchain, IoT, and AI, microgrids can be made more resilient, self-sufficient, and efficient. The existing microgrid data aggregation techniques are inaccurate and vulnerable to different types of cyber attacks. Demand response prediction, maximum energy generation, optimal energy consumption, and grid self-diagnosis have been made possible by smart energy management systems in recent years. The blockchain-based smart meters can communicate with the grid as digital wallets that enable prosumers to easily purchase and sell energy in addition to serving as measurement tools. It also offers a decentralized, tamper-proof ledger for secure energy transactions and P2P energy trading. AI-based smart grids can make energy distribution adaptable with the help of present data, minimizing energy loss and making optimal use of energy at peak locations and moments. It allows them to detect opportunities for energy savings and make automatic adjustments to reduce consumption. These systems result in significant cost savings and help in the realization of wider sustainability goals.

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Smart Energy Management System Using IoT, Blockchain, and AI

  • Debani Prasad Mishra,
  • Rupsa Pramanik,
  • Arpita Bhal,
  • Licky Mishra,
  • Nidan Gupta,
  • Surender Reddy Salkuti

摘要

The convergence of blockchain, Internet of Things (IoT), and AI in microgrid networks is revolutionizing the energy sector by increasing efficiency, security, and reliability. IoT provides effortless communication among distributed energy resources, sensors, and smart meters, enabling real-time data sharing, predictive analytics, and self-decision-making. With blockchain, IoT, and AI, microgrids can be made more resilient, self-sufficient, and efficient. The existing microgrid data aggregation techniques are inaccurate and vulnerable to different types of cyber attacks. Demand response prediction, maximum energy generation, optimal energy consumption, and grid self-diagnosis have been made possible by smart energy management systems in recent years. The blockchain-based smart meters can communicate with the grid as digital wallets that enable prosumers to easily purchase and sell energy in addition to serving as measurement tools. It also offers a decentralized, tamper-proof ledger for secure energy transactions and P2P energy trading. AI-based smart grids can make energy distribution adaptable with the help of present data, minimizing energy loss and making optimal use of energy at peak locations and moments. It allows them to detect opportunities for energy savings and make automatic adjustments to reduce consumption. These systems result in significant cost savings and help in the realization of wider sustainability goals.