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AI Applications to Power Systems.

Authors :
Tjing Lie, Tek
Tjing Lie, Tek

Abstract

Summary: 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.

Details

Language :
English
ISBN :
9783036536538
9783036536545
books978-3-0365-3654-5
ISBNs :
9783036536538, 9783036536545, and 9783036536545
Database :
Jio Institute Digital Library OPAC
Journal :
AI Applications to Power Systems
Notes :
004590, New Energy, Open Access star Unrestricted online access, Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/, English
Publication Type :
eBook
Accession number :
jio.Koha.JDL.240
Document Type :
Book; Electronic document