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© 2018

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

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

  • Wei Lee Woon
  • Zeyar Aung
  • Alejandro Catalina Feliú
  • Stuart Madnick
Conference proceedings DARE 2018

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11325)

Table of contents

  1. Front Matter
    Pages I-X
    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
    PDF

About these proceedings

Introduction

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.

Keywords

artificial intelligence computer networks data mining energy efficiency energy resources estimation forecasting graphical model learning algorithms machine learning techniques probabilistic graphical models renewable energy sensors smart grid solar energy state estimation wind energy wireless sensor networks

Editors and affiliations

  • Wei Lee Woon
    • 1
  • Zeyar Aung
    • 2
  • Alejandro Catalina Feliú
    • 3
  • Stuart Madnick
    • 4
  1. 1.Masdar Institute (Khalifa University)Abu DhabiUnited Arab Emirates
  2. 2.Masdar Institute (Khalifa University)Abu DhabiUnited Arab Emirates
  3. 3.Autonomous University of MadridMadridSpain
  4. 4.Massachusetts Institute of TechnologyCambridgeUSA

Bibliographic information