Welcome to DARE'17!

Climate change, the depletion of natural resources and rising energy costs have led to an increasing focus on renewable sources of energy. A lot of research has been devoted to the technologies used to extract energy from these sources; however, equally important is the storage and distribution of this energy in a way that is efficient and cost effective. Achieving this would generally require integration with existing energy infrastructure.

The challenge of renewable energy integration is inherently multidisciplinary and is particularly dependant on the use of techniques from the domains of data analytics, pattern recognition and machine learning. Examples of relevant research topics include the forecasting of electricity supply and demand, the detection of faults, demand response applications and many others. This workshop will provides a forum where interested researchers from the various related domains will be able to present and discuss their findings.

Workshop Program

Date: 22nd September 2017

14:00 - 14:05 Welcome Address

14:05 - 14:25 "Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration ",
(Diana Manjarres, Ricardo Alonso, Sergio Gil and Itziar Landa, TECNALIA Research & Innovation, Spain)

14:30 - 14:50 "Gradient boosting models for photovoltaic power estimation under partial shading conditions ",
(Nikolaos Nikolaou, Efstratios Batzelis and Gavin Brown, University of Manchester, UK)

14:55 - 15:15 "Multi-objective optimization for power load recommendation considering user’s comfort ",
(Jaroslav Loebl, Helmut Posch and Viera Rozinajova, Slovak University of Technology in Bratislava, Slovakia)

15:20 - 15:40 "Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs using Model-free Reinforcement Learning",
(Adhra Ali and Hussain Kazmi, TU Delft, the Netherlands; Enervalis, Belgium)

15:40 - 16:00 Afternoon Coffee Break

16:00 - 16:20 "Improving time-series rule matching performance for detecting energy consumption patterns",
(Maël Guillemé, Laurence Rozé, Véronique Masson, Cérès Carton, René Quiniou and Alexandre Termier , Université Rennes 1, INSA, INRIA / IRISA, France)

16:25 - 16:45 "Identifying Representative Load Time Series for Load Flow Calculations",
(Janosch Henze, Tanja Kneiske, Martin Braun and Bernhard Sick University of Kassel, Germany)

16:50 - 17:10 "Scalable Gaussian Process Models for Solar Power Forecasting",
(Astrid Dahl and Edwin Bonilla, University of New South Wales, Australia)

17:15 - 17:35 "NWP Ensembles for Wind Energy Uncertainty Estimates",
(Alejandro Catalina Feliu and Jose Dorronsoro, Universidad Autónoma de Madrid, Spain)

Papers to be presented as posters

  • "An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics ",
    (Dina Fawzy, Sherin Moussa and Nagwa Badr , Ain Shams University, Egypt)

  • "Probabilistic Wind Power Forecasting By Using Quantile Regression Analysis",
    (Mehmet Baris Ozkan, Umut Guvengir, Dilek Kucuk, Ali Unver Secen, Serkan Buhan, Turan Demirci, Abdullah Bestil, Ceyda Er and Pinar Karagoz, TÜBİTAK MRC Energy Institute, Turkey, Middle East Technical University, Turkey))

  • "Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE",
    (Khawla Al Dhaheri, Wei Lee Woon and Zeyar Aung, Masdar Institute (part of Khalifa University))

    Important Dates

    Submission Deadline24th of July, 2017 (extended)
    Notification to Authors24th of July 2017
    Camera-ready Deadline7th of August 2017
    Workshop day22nd September 2017

    Organizers

    You can contact us at:
    dare2017 (at) dnagroup.org , wlwoon (at) deeplearn.net

    Program Committee

    • Gieseke, Fabian, University of Copenhagen, Denmark
    • Kaufmann, Paul, Paderborn University, Germany
    • Kayem, Anne, Hasso-Plattner Institute, Germany
    • Khan, Latifur, University of Texas at Dallas, USA
    • Li, Xiaoli, Institute for Infocomm Research, Singapore
    • Martínez-Álvarez, Francisco, Pablo de Olavide University of Seville, Spain
    • Mashima, Daisuke, Advanced Digital Sciences Center, Singapore
    • Ouarda, Taha, National Institute of Scientific Research, Canada
    • Peng, Jimmy, National University of Singapore, Singapore
    • Saraiva, Filipe, Federal University of Para, Brazil
    • Shafi, Kamran, University of New South Wales, Australia
    • Shawkat Ali, A. B. M., University of Fiji, Fiji
    • Wagner, Markus, University of Adelaide, Australia
    • Mostaghim, Sanaz, Otto von Guericke University Magdeburg, Germany