Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more.

This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems.

Features deep learning methodologies in smart grid deployment and maintenance applications
Includes coding for intelligent data analytics for each application
Covers advanced problems and solutions of smart grids using advance data analytic techniques

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Yes, you can access Intelligent Data-Analytics for Condition Monitoring by Hasmat Malik,Nuzhat Fatema,Atif Iqbal in PDF and/or ePUB format, as well as other popular books in Technologie et ingénierie & Ressources d'alimentation. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2021

ISBN

9780323855112

Topic

Technologie et ingénierie

Subtopic

Ressources d'alimentation

Cover
Title page
Contents
Copyright
Editors Biography
Preface
Part A: Intelligent Data Analytics for Classification in Smart Grid
Part B: Intelligent Data Analytics for Forecasting in Smart Grid
Index