Data Analytics for Renewable Energy Integration 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Woon, Wei Lee (Editor), Aung, Zeyar (Editor), Kramer, Oliver (Editor), Madnick, Stuart (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Computer Science, 10097
• Subjects: Computer science.; Renewable energy resources.; Computer science > Mathematics.; Data mining.; Artificial intelligence.; Renewable energy sources.; Alternate energy sources.; Green energy industries.; Energy industries.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Renewable and Green Energy.; Mathematics of Computing.; Energy Economics.
• Physical Description: VII, 137 p. 58 illus. online resource.
• ISBN: 9783319509471
• ISSN: 0302-9743 ;

This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.