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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society [electronic resource] : 6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers / edited by Wei Lee Woon, Zeyar Aung, Alejandro Catalina Feliú, Stuart Madnick.

Contributor(s): Woon, Wei Lee [editor.] | Aung, Zeyar [editor.] | Catalina Feliú, Alejandro [editor.] | Madnick, Stuart [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 11325Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: X, 167 p. 75 illus., 65 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030043032.Subject(s): Artificial intelligence | Computer networks  | Data mining | Renewable energy sources | Energy policy | Energy and state | Artificial Intelligence | Computer Communication Networks | Data Mining and Knowledge Discovery | Renewable Energy | Energy Policy, Economics and ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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 inthe City of Abu Dhabi, United Arab Emirates.
In: Springer Nature eBookSummary: 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.
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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 inthe City of Abu Dhabi, United Arab Emirates.

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.

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