000 04628nam a22006615i 4500
001 978-3-030-04303-2
003 DE-He213
005 20210201191301.0
007 cr nn 008mamaa
008 181116s2018 gw | s |||| 0|eng d
020 _a9783030043032
_9978-3-030-04303-2
050 4 _aQ334-342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aData Analytics for Renewable Energy Integration. Technologies, Systems and Society
_h[electronic resource] :
_b6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers /
_cedited by Wei Lee Woon, Zeyar Aung, Alejandro Catalina Feliú, Stuart Madnick.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aX, 167 p. 75 illus., 65 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence ;
_v11325
500 _aAcceso multiusuario
505 0 _aMathematical Optimization of Design Parameters of Photovoltaic Module -- Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features -- Sampling Strategies for Representative Time Series in Load Flow Calculations -- Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale -- Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation -- Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access -- Contribution Machine learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application -- Clustering River Basins using Time-Series Data Mining on Hydroelectric Energy Generation -- Short-Term Electricity Consumption Forecast using Datasets of Various Granularities? -- Intelligent Monitoring of Transformer Insulation using Convolutional Neural Networks -- Nonintrusive Load Monitoring based on Deep Learning -- Urban Climate Data Sensing, Warehousing, and Analysis: A Case Study in the City of Abu Dhabi, United Arab Emirates.
520 _aThis book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aArtificial intelligence.
650 0 _aComputer communication systems.
650 0 _aData mining.
650 0 _aRenewable energy resources.
650 0 _aEnergy policy.
650 0 _aEnergy and state.
650 1 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aComputer Communication Networks.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I13022
650 2 4 _aData Mining and Knowledge Discovery.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18030
650 2 4 _aRenewable and Green Energy.
_0https://scigraph.springernature.com/ontologies/product-market-codes/111000
650 2 4 _aEnergy Policy, Economics and Management.
_0https://scigraph.springernature.com/ontologies/product-market-codes/112000
700 1 _aWoon, Wei Lee.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAung, Zeyar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCatalina Feliú, Alejandro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMadnick, Stuart.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030043025
776 0 8 _iPrinted edition:
_z9783030043049
830 0 _aLecture Notes in Artificial Intelligence ;
_v11325
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-04303-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cLIBRO_ELEC
999 _c241677
_d241676