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
Editors: Woon, W.L., Aung, Z., Kramer, O., Madnick, S. (Eds.)
Free PreviewBuy this book
- About this book
-
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.
- Table of contents (11 chapters)
-
-
Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration
Pages 1-12
-
Gradient Boosting Models for Photovoltaic Power Estimation Under Partial Shading Conditions
Pages 13-25
-
Multi-objective Optimization for Power Load Recommendation Considering User’s Comfort
Pages 26-32
-
An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics
Pages 33-46
-
Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning
Pages 47-58
-
Table of contents (11 chapters)
- Download Preface 1 PDF (40.8 KB)
- Download Sample pages 2 PDF (387.2 KB)
- Download Table of contents PDF (58.4 KB)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
- Book Subtitle
- 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers
- Editors
-
- Wei Lee Woon
- Zeyar Aung
- Oliver Kramer
- Stuart Madnick
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 10691
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-71643-5
- DOI
- 10.1007/978-3-319-71643-5
- Softcover ISBN
- 978-3-319-71642-8
- Edition Number
- 1
- Number of Pages
- X, 133
- Number of Illustrations
- 49 b/w illustrations
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.
