Data Analytics for Renewable Energy Integration. Technologies, Systems and Society 6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers /

This 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 handl...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Woon, Wei Lee (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Aung, Zeyar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Catalina Feliú, Alejandro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Madnick, Stuart (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Lecture Notes in Artificial Intelligence ; 11325
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Data Analytics for Renewable Energy Integration. Technologies, Systems and Society  |h [electronic resource] :  |b 6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers /  |c edited by Wei Lee Woon, Zeyar Aung, Alejandro Catalina Feliú, Stuart Madnick. 
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505 0 |a Mathematical 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 in the City of Abu Dhabi, United Arab Emirates. 
520 |a This 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 |a Artificial intelligence. 
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650 0 |a Renewable energy resources. 
650 0 |a Energy policy. 
650 0 |a Energy and state. 
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650 2 4 |a Data Mining and Knowledge Discovery.  |0 http://scigraph.springernature.com/things/product-market-codes/I18030 
650 2 4 |a Renewable and Green Energy.  |0 http://scigraph.springernature.com/things/product-market-codes/111000 
650 2 4 |a Energy Policy, Economics and Management.  |0 http://scigraph.springernature.com/things/product-market-codes/112000 
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700 1 |a Catalina Feliú, Alejandro.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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