Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Woon, Wei Lee (Επιμελητής έκδοσης), Aung, Zeyar (Επιμελητής έκδοσης), Kramer, Oliver (Επιμελητής έκδοσης), Madnick, Stuart (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10691
• Θέματα: Computer science.; Renewable energy resources.; Computer communication systems.; Data mining.; Artificial intelligence.; Renewable energy sources.; Alternate energy sources.; Green energy industries.; Energy industries.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Data Mining and Knowledge Discovery.; Renewable and Green Energy.; Energy Economics.
• Φυσική περιγραφή: X, 133 p. 49 illus. online resource.
• ISBN: 9783319716435
• ISSN: 0302-9743 ;

This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. 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.