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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.
650		0	_aComputer networks .
650		0	_aData mining.
650		0	_aRenewable energy sources.
650		0	_aEnergy policy.
650		0	_aEnergy and state.
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Communication Networks.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aRenewable Energy.
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		_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, _x2945-9141 ; _v11325
856	4	0	_uhttps://doi.org/10.1007/978-3-030-04303-2
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912			_aZDB-2-SXCS
912			_aZDB-2-LNC
942			_cSPRINGER
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