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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
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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
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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.
_93407
650 0 _aData mining.
_93907
650 0 _aRenewable energy sources.
_94906
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aEnergy policy.
_914226
650 0 _aEnergy and state.
_931819
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9128275
650 2 4 _aRenewable Energy.
_913722
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aEnergy Policy, Economics and Management.
_931820
700 1 _aWoon, Wei Lee.
_eeditor.
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700 1 _aAung, Zeyar.
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700 1 _aKramer, Oliver.
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700 1 _aMadnick, Stuart.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-50947-1
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