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IoT and Analytics in Renewable Energy Systems (Volume 1) Sustainable Smart Grids & Renewable Energy Systems

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  • Дата: 17-06-2023, 03:21
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IoT and Analytics in Renewable Energy Systems (Volume 1) Sustainable Smart Grids & Renewable Energy SystemsНазвание: IoT and Analytics in Renewable Energy Systems (Volume 1): Sustainable Smart Grids & Renewable Energy Systems
Автор: O.V. Gnana Swathika, K. Karthikeyan
Издательство: CRC Press
Год: 2024
Страниц: 335
Язык: английский
Формат: pdf (true)
Размер: 21.4 MB

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 systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality.

Nowadays we get to see the rapid expansion of technologies with the influence of Internet of Things (IoT) and Smart Grid (SG). So, whatever IoT devices we are using with some sort of protocols and parameters, we should be able to manage and know the measures and estimation of power consumption, interoperability, price forecasting, etc. One of the major constraints and possible challenges of IoT-SG is the security and uneven distribution of processing data from transmission lines, distribution substations, smart meters, and other sources. In the present era, smart grid IoT technologies are beneficial energy management solutions. It’s a two-way data interchange between networked gadgets and hardware that recognizes and responds to human wants. It’s also less expensive than the present power system. In this paper, we focus on how smart grid is an efficient way to estimate and manage energy efficiency and power demand, which will give a clear picture to the end users in an elaborate way.

Five salient features of this book are as follows:

AI and IoT in improving resilience of smart energy infrastructure
IoT, smart grids and renewable energy: an economic approach
AI and ML towards sustainable solar energy
Electrical vehicles and smart grid
Intelligent condition monitoring for solar and wind energy systems

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