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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, September 10, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Wei Lee Woon

    1. Masdar Institute (Khalifa University), Abu Dhabi, United Arab Emirates

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  2. Zeyar Aung

    1. Masdar Institute (Khalifa University), Abu Dhabi, United Arab Emirates

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  3. Alejandro Catalina Feliú

    1. Autonomous University of Madrid, Madrid, Spain

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  4. Stuart Madnick

    1. Massachusetts Institute of Technology, Cambridge, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11325)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DARE 2018.

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Table of contents (12 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Mathematical Optimization of Design Parameters of Photovoltaic Module

    • Dávid Kubík, Jaroslav Loebl
    Pages 1-12

  3. Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features

    • Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
    Pages 13-26

  4. Sampling Strategies for Representative Time Series in Load Flow Calculations

    • Janosch Henze, Stephan Kutzner, Bernhard Sick
    Pages 27-48

  5. Probabilistic Graphs for Sensor Data-Driven Modelling of Power Systems at Scale

    • Francesco Fusco
    Pages 49-62

  6. Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

    • Ole J. Mengshoel, Priya K. Sundararajan, Erik Reed, Dongzhen Piao, Briana Johnson
    Pages 63-82

  7. Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access

    • Ryan J. Spick, James A. Walker
    Pages 83-93

  8. Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application

    • Sokratis Papadopoulos, Wei Lee Woon, Elie Azar
    Pages 94-102

  9. Clustering River Basins Using Time-Series Data Mining on Hydroelectric Energy Generation

    • Yusuf Arslan, Dilek Küçük, Sinan Eren, Aysenur Birturk
    Pages 103-115

  10. Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities

    • Yusuf Arslan, Aybike Şimşek Dilbaz, Seyda Ertekin, Pinar Karagoz, Aysenur Birturk, Sinan Eren et al.
    Pages 116-126

  11. Intelligent Monitoring of Transformer Insulation Using Convolutional Neural Networks

    • Wei Lee Woon, Zeyar Aung, Ayman El-Hag
    Pages 127-136

  12. Nonintrusive Load Monitoring Based on Deep Learning

    • Ke Wang, Haiwang Zhong, Nanpeng Yu, Qing Xia
    Pages 137-147

  13. Urban Climate Data Sensing, Warehousing, and Analysis: A Case Study in the City of Abu Dhabi, United Arab Emirates

    • Prajowal Manandhar, Prashanth Reddy Marpu, Zeyar Aung
    Pages 148-165

  14. Back Matter

    Pages 167-167
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Other volumes

  1. Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Keywords

About this book

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.

Editors and Affiliations

  • Masdar Institute (Khalifa University), Abu Dhabi, United Arab Emirates

    Wei Lee Woon, Zeyar Aung

  • Autonomous University of Madrid, Madrid, Spain

    Alejandro Catalina Feliú

  • Massachusetts Institute of Technology, Cambridge, USA

    Stuart Madnick

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