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_a10.1007/978-3-319-27430-0 _2doi |
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_aData Analytics for Renewable Energy Integration _h[electronic resource] : _bThird ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers / _cedited by Wei Lee Woon, Zeyar Aung, Stuart Madnick. |
250 | _a1st ed. 2015. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
300 |
_aVII, 155 p. 94 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
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||
490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9518 |
|
505 | 0 | _aImitative learning for online planning in microgrids -- A novel central voltage‐control strategy for smart LV distribution networks -- Quantifying energy demand in mountainous areas -- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination -- Evaluation of forecasting methods for very small‐scale networks -- Classification cascades of overlapping feature ensembles for energy time series data -- Correlation analysis for determining the potential of home energy management systems in Germany -- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline -- An OPTICS clustering‐based anomalous data filtering algorithm for condition monitoring of power equipment -- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project. | |
520 | _aThis book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book. | ||
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. _9160685 |
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. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9160686 |
|
700 | 1 |
_aAung, Zeyar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9160687 |
|
700 | 1 |
_aMadnick, Stuart. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9160688 |
|
710 | 2 |
_aSpringerLink (Online service) _9160689 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319274294 |
776 | 0 | 8 |
_iPrinted edition: _z9783319274317 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9518 _9160690 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-27430-0 |
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