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OverviewThis 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. Full Product DetailsAuthor: Adrian EisenmannPublisher: Books on Demand Imprint: Books on Demand Dimensions: Width: 14.80cm , Height: 1.10cm , Length: 21.00cm Weight: 0.240kg ISBN: 9783756812332ISBN 10: 3756812332 Pages: 196 Publication Date: 01 December 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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