Artificial Intelligence Supported Power Quality Prediction and Mitigation
Author | : Adrian Eisenmann |
Publisher | : BoD – Books on Demand |
Total Pages | : 196 |
Release | : 2023-12 |
ISBN-10 | : 9783756812332 |
ISBN-13 | : 3756812332 |
Rating | : 4/5 (332 Downloads) |
Download or read book Artificial Intelligence Supported Power Quality Prediction and Mitigation written by Adrian Eisenmann and published by BoD – Books on Demand. This book was released on 2023-12 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.