AI Applications to Power Systems
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
MDPI - Multidisciplinary Digital Publishing Institute
Place of publication:
Basel
Date:
2022
Extent, illustration, format:
1 Online-Ressource (156 p.)
Language:
Nicht zu entscheiden
Providing institution:
Additional information
Abstract:
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
Object text:
English
Access and usage options
Contact
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Administrative details
Created:
2023-04-12
Last changed:
2023-01-29
Added to portal:
2023-04-12
Feedback
Our data sets are in constant development. If you have additional information about this object or discovered an error, please write to us. Information on privacy policy