|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-319-13290-7 |
003 |
DE-He213 |
005 |
20221012192923.0 |
007 |
cr nn 008mamaa |
008 |
141120s2014 sz | s |||| 0|eng d |
020 |
|
|
|a 9783319132907
|9 978-3-319-13290-7
|
024 |
7 |
|
|a 10.1007/978-3-319-13290-7
|2 doi
|
050 |
|
4 |
|a Q334-342
|
050 |
|
4 |
|a TA347.A78
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a COM004000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
082 |
0 |
4 |
|a 006.3
|2 23
|
245 |
1 |
0 |
|a Data Analytics for Renewable Energy Integration
|h [electronic resource] :
|b Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers /
|c edited by Wei Lee Woon, Zeyar Aung, Stuart Madnick.
|
250 |
|
|
|a 1st ed. 2014.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
|
300 |
|
|
|a IX, 151 p. 63 illus.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 8817
|
505 |
0 |
|
|a 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.
|
520 |
|
|
|a 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.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Renewable energy sources.
|
650 |
|
0 |
|a Computer science-Mathematics.
|
650 |
|
0 |
|a Energy policy.
|
650 |
|
0 |
|a Energy and state.
|
650 |
1 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
650 |
2 |
4 |
|a Renewable Energy.
|
650 |
2 |
4 |
|a Mathematics of Computing.
|
650 |
2 |
4 |
|a Energy Policy, Economics and Management.
|
700 |
1 |
|
|a Woon, Wei Lee.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Aung, Zeyar.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Madnick, Stuart.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319132914
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319132891
|
830 |
|
0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 8817
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-319-13290-7
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|