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Artificial Intelligence supported Power Quality Prediction and Mitigation

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Product Code: 9783756812332
ISBN13: 9783756812332
Condition: New
$61.90
$57.94
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Artificial Intelligence supported Power Quality Prediction and Mitigation

$61.90
$57.94
Sale 6%
 
This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time series forecasting, designed to profit especially from big data bases and complex pattern use cases as well as an Artificial Intelligence based Smart Demand Side Management framework to enable system inherent resources / components for minimization of harmonic disturbances is applied to measured power grid scenarios.


Author: Adrian Eisenmann
Publisher: Bod - Books on Demand
Publication Date: 45261
Number of Pages: 196 pages
Binding: Technology & Engineering
ISBN-10: 3756812332
ISBN-13: 9783756812332
 

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