Data Analytics for Renewable Energy Integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers (Lecture Notes in Computer Science Book 8817)

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. 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. edited by Wei Lee Woon, Zeyar Aung, Stuart Madnick. Front Matter....Pages I-IX Towards Flexibility Detection in Device-Level Energy Consumption....Pages 1-16 Balancing Energy Flexibilities Through Aggregation....Pages 17-37 Machine Learning Prediction of Large Area Photovoltaic Energy Production....Pages 38-53 The Research on Vulnerability Analysis in OpenADR for Smart Grid....Pages 54-60 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....Pages 61-66 PowerScope: Early Event Detection and Identification in Electric Power Systems....Pages 67-80 Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey....Pages 81-96 A Framework for Data Mining in Wind Power Time Series....Pages 97-107 Systematical Evaluation of Solar Energy Supply Forecasts....Pages 108-121 Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies....Pages 122-136 Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi....Pages 137-149 Back Matter....Pages 151-151