Data Analytics for Renewable Energy Integration de Wei Lee Woon

Data Analytics for Renewable Energy Integration: Lecture Notes in Computer Science, cartea 8817

Wei Lee Woon

Zeyar Aung

Stuart Madnick

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.

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Paperback (2)	315^.22 lei 6-8 săpt.
Springer – 5 dec 2014	315^.22 lei 6-8 săpt.
Springer – 15 dec 2015	315^.22 lei 6-8 săpt.

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Cuprins

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.