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Electronic Resource

AI Applications to Power Systems

Tjing Lie, Tek - Personal Name;

Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.


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Detail Information
Series Title
-
Call Number
-
Publisher
Basel : MDPI - Multidisciplinary Digital Publishing Institute., 2022
Collation
156 hlm; ill., lamp.,
Language
English
ISBN/ISSN
9783036536545
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
-
Specific Detail Info
-
Statement of Responsibility
Tjing Lie, Tek (editor)
Other Information
Cataloger
ida
Source
https://directory.doabooks.org/handle/20.500.12854/81232
Validator
-
Digital Object Identifier (DOI)
10.3390/books978-3-0365-3654-5
Journal Volume
-
Journal Issue
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Subtitle
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Parallel Title
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  • AI Applications to Power Systems
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