Artificial Intelligence supported Power Quality Prediction and Mitigation (Paperback) (ISBN-13: 9783756812332)

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
ISBN-10: 3756812332
ISBN-13: 9783756812332
Publisher: Bod - Books on Demand
Language: English
Published: 12/01/2023
Pages: 196
Format: Paperback
Weight: 0.53lbs
Size: 8.27h x 5.83w x 0.42d