Data Analytics for Renewable Energy Integration - Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers

This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

List of contents

Towards Flexibility Detection in Device-Level Energy Consumption.- Balancing Energy Flexibilities Through Aggregation.- Machine Learning Prediction of Large Area Photovoltaic Energy Production.- The Research on Vulnerability Analysis in OpenADR for Smart Grid.- Improving an Accuracy of ANN-Based Mesoscale-Microscale Coupling Model by Data Categorization: With Application to Wind Forecast for Offshore and Complex Terrain Onshore Wind Farms.- PowerScope: Early Event Detection and Identification in Electric Power Systems.- Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey.- A Framework for Data Mining in Wind Power Time Series.- Systematical Evaluation of Solar Energy Supply Forecasts.- Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies.- Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi.

Product details

• Assisted by: Zeya Aung (Editor), Zeyar Aung (Editor), Stuart Madnick (Editor), Wei Lee Woon (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2014
• EAN: 9783319132891
• ISBN: 978-3-31-913289-1
• No. of pages: 151
• Dimensions: 154 mm x 11 mm x 240 mm
• Weight: 260 g
• Illustrations: IX, 151 p. 63 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Umwelt, C, Data Mining, Artificial Intelligence, Mathematik für Informatiker, computer science, Renewable Energy, Energy Policy, Economics and Management, Energy technology & engineering, Data Mining and Knowledge Discovery, Mathematics of Computing, Renewable and Green Energy, Energy Policy, Energy industries & utilities, Mathematical theory of computation, Computer science—Mathematics, Maths for computer scientists, Renewable energy resources, Alternative & renewable energy sources & technology, Energy and state, Expert systems / knowledge-based systems