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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,
_x2945-9141 ;
_v11325
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 inthe 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer networks .
_931572
650 0 _aData mining.
_93907
650 0 _aRenewable energy sources.
_94906
650 0 _aEnergy policy.
_914226
650 0 _aEnergy and state.
_931819
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Communication Networks.
_984391
650 2 4 _aData Mining and Knowledge Discovery.
_984393
650 2 4 _aRenewable Energy.
_913722
650 2 4 _aEnergy Policy, Economics and Management.
_931820
700 1 _aWoon, Wei Lee.
_eeditor.
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_984394
700 1 _aAung, Zeyar.
_eeditor.
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_984395
700 1 _aCatalina Feliú, Alejandro.
_eeditor.
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_984398
700 1 _aMadnick, Stuart.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_984399
710 2 _aSpringerLink (Online service)
_984401
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030043025
776 0 8 _iPrinted edition:
_z9783030043049
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11325
_984402
856 4 0 _uhttps://doi.org/10.1007/978-3-030-04303-2
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