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020 _a9783319509471
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024 7 _a10.1007/978-3-319-50947-1
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aData Analytics for Renewable Energy Integration
_h[electronic resource] :
_b4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers /
_cedited by Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart Madnick.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVII, 137 p. 58 illus.
_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 ;
_v10097
505 0 _aLocating Faults in Photovoltaic Systems Data -- Forecasting of Smart Meter Time Series Based on Neural Cybersecurity for Smart Cities: A Brief Review -- Machine Learning Prediction of Photovoltaic Energy from Satellite Sources -- Approximate Probabilistic Power Flow -- Dealing with Uncertainty: An Empirical Study on the Relevance of Renewable Energy Forecasting Methods -- Measuring Stakeholders’ Perceptions of Cybersecurity for Renewable Energy Systems -- Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests -- Evolutionary Multi-Objective Ensembles forWind Power Prediction -- A Semi-Automatic Approach for Tech Mining and Interactive Taxonomy Visualization -- Decomposition of Aggregate Electricity Demand into the Seasonal-Thermal Components for Demand-Side Management Applications in "Smart Grids".
520 _aThis book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. The 11 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.
650 0 _aData mining.
650 0 _aRenewable energy sources.
650 0 _aComputer science
_xMathematics.
650 0 _aEnergy policy.
650 0 _aEnergy and state.
650 1 4 _aArtificial Intelligence.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aRenewable Energy.
650 2 4 _aMathematics of Computing.
650 2 4 _aEnergy Policy, Economics and Management.
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 _aKramer, Oliver.
_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:
_z9783319509464
776 0 8 _iPrinted edition:
_z9783319509488
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10097
856 4 0 _uhttps://doi.org/10.1007/978-3-319-50947-1
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912 _aZDB-2-SXCS
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