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Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers 1st ed. 2015 [Pehme köide]

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  • Formaat: Paperback / softback, 155 pages, kõrgus x laius: 235x155 mm, kaal: 2584 g, 94 Illustrations, color; VII, 155 p. 94 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 9518
  • Ilmumisaeg: 15-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319274295
  • ISBN-13: 9783319274294
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Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers 1st ed. 2015Suurem pilt
  • Formaat: Paperback / softback, 155 pages, kõrgus x laius: 235x155 mm, kaal: 2584 g, 94 Illustrations, color; VII, 155 p. 94 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 9518
  • Ilmumisaeg: 15-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319274295
  • ISBN-13: 9783319274294
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319274294.html
Märksõnad:
This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015.

The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
Imitative learningfor online planning in microgrids.- A novel central voltage-control strategyfor smart LV distribution networks.- Quantifying energy demand in mountainousareas.- Performance analysis of data mining techniques for improving theaccuracy of wind power forecast combination.- Evaluation of forecasting methodsfor very small-scale networks.- Classification cascades of overlapping featureensembles for energy time series data.- Correlation analysis for determiningthe potential of home energy management systems in Germany.- Predicting hourlyenergy consumption. Can regression modeling improve on an autoregressivebaseline.- An OPTICS clustering-based anomalous data filtering algorithm forcondition monitoring of power equipment.- Argument visualization and narrativeapproaches for collaborative spatial decision making and knowledgeconstruction: A case study for an offshore wind farm project.