Buch, Englisch, 133 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g
5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers
Buch, Englisch, 133 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-319-71642-8
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Imitative learning for online planning in microgrids.- A novel central voltage-control strategy for smart LV distribution networks.- Quantifying energy demand in mountainous areas.- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination.- Evaluation of forecasting methods for very small-scale networks.- Classification cascades of overlapping feature ensembles for energy time series data.- Correlation analysis for determining the potential of home energy management systems in Germany.- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline.- An OPTICS clustering-based anomalous data filtering algorithm for condition monitoring of power equipment.- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project.
