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Applications of Big Data and Artificial Intelligence in Smart Energy Systems
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Applications of Big Data and Artificial Intelligence in Smart Energy Systems : Volume 1 Smart Energy System: Design and its State-of-The Art Technologies

Book Details

Format Hardback or Cased Book
ISBN-10 8770228256
ISBN-13 9788770228251
Publisher River Publishers
Imprint River Publishers
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 29th, 2023
Print length 286 Pages
Weight 694 grams
Dimensions 16.50 x 24.20 x 2.30 cms
Ksh 18,900.00
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This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management.

In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth.

Technical topics discussed in the book include:

• Hybrid smart energy system technologies

• Smart meters

• Energy demand forecasting

• Use of different protocols and communication in smart energy

systems

• Power quality and allied issues and mitigation using AI

• Intelligent transportation

• Virtual power plants

• AI based smart energy business models

• Smart home solutions

• Blockchain solutions for smart grids.


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