IoT Analytics and Renewable Energy Systems, Volume 1 and 2, Multiple-component retail product Book

IoT Analytics and Renewable Energy Systems, Volume 1 and 2 Multiple-component retail product

Edited by O.V. Gnana (VIT Chennai, Chennai, India.) Swathika, K. (Larsen and Toubro, Chennai, India.) Karthikeyan, Sanjeevikumar (University of South-Eastern Norway) Padmanaban

Multiple-component retail product

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VOLUME 1: Smart Grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems.

Smart grid techniques support the extensive inclusion of clean renewable generation in power system.

Smart grid also promotes energy saving in power system.

Cyber security objectives for the Smart Grid focusses on Availability, integrity, and confidentiality. 5 Salient Features: 1. AI and IoT in improving resilience of Smart Energy infrastructure. 2. IoT, Smart Grids & Renewable Energy: An Economic Approach. 3. AI and ML towards Sustainable solar energy. 4. Electrical Vehicles & Smart Grid. 5. Intelligent Condition Monitoring for Solar and Wind Energy Systems. VOLUME 2: 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 facilitate cities reach 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. 5 Salient Features: 1. Smart Grid to the Smart Customer. 2. Intelligent Computing for Smart Grid Applications. 3. 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 System,etc. 4. Innovations in Using IoT and AI in improving resilience of Smart Energy infrastructure. 5. Challenges and Future Research Directions of Smart City Applications.

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