Solar Power Forecasting Through Machine Intelligence: DE - Softcover

Unni, Aparna; Channi, Harpreet Kaur

 
9786208222482: Solar Power Forecasting Through Machine Intelligence: DE
Softcover
ISBN 10: 6208222486 ISBN 13: 9786208222482
Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

Solar energy is a very promising and renewable form of energy that can fulfill a substantial amount of the world's energy needs. Nevertheless, the sporadic character of renewable energy sources, caused by variables like weather patterns and time of day, presents obstacles to consistent energy production and integration into the power system. To tackle these difficulties, this study suggests an innovative method that utilizes computer vision and machine intelligence approaches to forecast and enhance the production of solar energy. The suggested approach entails the amalgamation of data-driven methods from the fields of computer vision and machine learning. Early information on climate, solar-oriented radiation, and solar-powered charger execution is gathered from various sources. PC vision calculations utilize satellite information or ground-based pictures to remove overcast cover, development, and other climatic qualities. The hour of day and season are added to visual information to deliver a full dataset. The dataset trains AI frameworks to gauge solar irradiance and energy creation.

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Über die Autorin bzw. den Autor

Aparna Unni is a research scholar and Harpreet Kaur Channi is a research scholar at Eudoxia Research University, New Castle, USA.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
6208222486
ISBN 13 
9786208222482
Einband
Taschenbuch
Anzahl der Seiten
84
Kontakt zum Hersteller
Editions Vie
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
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