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IoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart CitiesIoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart CitiesIoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart Cities

IoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart Cities

Current price: $251.95
Visit retailer's website
IoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart Cities

IoT and Analytics Renewable Energy Systems (Volume 2): AI, ML Deployment Sustainable Smart Cities

Current price: $251.95
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Size: Hardcover

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Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications
Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

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Find Indigo at Erin Mills Town Centre in Mississauga ON

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