{"id":611,"date":"2020-04-30T11:58:15","date_gmt":"2020-04-30T09:58:15","guid":{"rendered":"https:\/\/windeurope.org\/workshops\/tech2020\/?page_id=611"},"modified":"2020-06-04T19:29:13","modified_gmt":"2020-06-04T17:29:13","slug":"day-three","status":"publish","type":"page","link":"https:\/\/windeurope.org\/workshops\/tech2020\/programme\/day-three\/","title":{"rendered":"Day three, 10 June"},"content":{"rendered":"
\r\n
\r\n
\r\n13:00-14:10
Machine learning & big data<\/a>\r\n

14:10-14:30
Short break<\/p>\r\n14:30-16:00
Resource Assessment: Latest news in models and data<\/a>\r\n

Posters & Networking \u2013 including exhibitors\u2019 private sessions<\/p>\r\n<\/div>\r\n

\r\n

Plenary Session \u2013 Machine Learning & Big Data<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

Machine Learning and Big Data are playing an ever-greater role in the wind industry. Vast amounts of data are being generated by operating wind farms, meteorological measurement and models. At the same time, researchers and consultants are looking at how to apply machine learning developments to complex analysis and modelling problems. <\/p>\r\n

In this session we will then turn to how insights from the worlds of retail and logistics can be used in applications of Machine Learning and Big Data in wind energy. Later we will hear about applications of Machine Learning and Big Data inside the wind energy sector.<\/p>\r\n

SESSION CHAIRS<\/h3>\r\n
\r\n
\r\n\r\n

Jake Badger<\/p>\r\n

Head of Section, Wind Resource Assessment Modelling, DTU Wind Energy<\/p>\r\n<\/div>\r\n

\r\n\r\n

Berith Klug<\/p>\r\n

Head of Operational Excellence, Siemens Gamesa Renewable Energy<\/p>\r\n<\/div>\r\n<\/section>\r\n

SPEAKERS<\/h3>\r\n
\r\n\r\n\r\n
\r\n\r\n

Giuseppe Angelo Porcelli<\/p>\r\n

Principal Specialist Solutions Architect \u2013 Machine Learning, Amazon<\/p>\r\n

##############<\/p>\r\n<\/div>\r\n

\r\n\r\n

Jorge L\u00f3pez<\/p>\r\n

Business Developer, Green Eagle Solutions<\/p>\r\n

Smart Energy Control Centers (SECCs) to revolutionize operation strategies for asset performance and maintenance cost optimisation through automatization<\/p>\r\n<\/div>\r\n\r\n

\r\n\r\n

K\u00e9vin Cl\u00e9ment<\/p>\r\n

Engineer, DNV GL<\/p>\r\n

Operational wind farm availability: learning from data<\/p>\r\n<\/div>\r\n<\/section><\/div>\r\n

\r\n

Resource Assessment \u2013 Latest news in models and data<\/h2>\r\n

SESSION DESCRIPTION<\/h3>\r\n

Sometimes it\u2019s difficult to fit the most cutting-edge research in a particular workshop session, either because it\u2019s a completely new topic or because it embraces several connected ones. The aim of this session is to provide a preeminent voice to excellent works which have in common its singularity.
\r\n
Learning objectives:\r\n

  • Attendees will get an overview of current research trends in wind farm control.<\/li>\r\n
  • Attendees will learn about MPAS, a strong candidate for the next generation of atmospheric multiscale models.<\/li>\r\n
  • Attendees will discover a smarter way to reduce wind turbine noise, driven by local real-time measurements.<\/li>\r\n
  • Attendees will be briefed on the new standard for wind speed measurement with nacelle-mounted lidar and its implications.<\/li>\r\n\r\n<\/p>\r\n\r\n

    SESSION CHAIR<\/h3>\r\n
    \r\n\r\n

    Jos\u00e9 Vidal<\/p>\r\n

    Technical Director of Energy Advisory, UL<\/p>\r\n<\/div>\r\n<\/section>\r\n

    SPEAKERS<\/h3>\r\n
    \r\n
    \r\n\r\n

    Marta Gil Bardaji<\/p>\r\n

    Wind Data Analyst, Vortex FdC<\/p>\r\n

    Revisiting mesoscale: how MPAS can make wind resource modeling really seamless<\/p>\r\n<\/div>\r\n\r\n

    \r\n\r\n

    Charles Henderson<\/p>\r\n

    Stacker Group CEO and ENTR Organizer, Stacker Group<\/p>\r\n

    ENTR: an open-source initiative by owner-operators to establish a reference architecture for data standardization in the wind industry<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    John Medley<\/p>\r\n

    Senior Data Scientist, ZX Lidars<\/p>\r\n

    A new international standard for wind speed measurement with nacelle-mounted lidar and its implications for CW-scanning lidar<\/p>\r\n<\/div>\r\n\r\n\r\n

    \r\n\r\n

    Alex Clerc<\/p>\r\n

    SMART Product Manager, RES<\/p>\r\n

    A novel dynamic curtailment solution for amplitude modulation<\/p>\r\n<\/div>\r\n

    \r\n\r\n

    Giancarlo Potenza<\/p>\r\n

    Project Manager, Enel Green Power<\/p>\r\n

    CL-WINDCON project \u2013 EU H2020 project<\/p>\r\n<\/div>\r\n\r\n\r\n<\/section><\/div>\r\n\t<\/section><\/section>\r\n","protected":false},"excerpt":{"rendered":"

    13:00-14:10Machine learning & big data 14:10-14:30Short break 14:30-16:00Resource Assessment: Latest news in models and data Posters & Networking \u2013 including exhibitors\u2019 private sessions Plenary Session \u2013 Machine Learning & Big Data SESSION DESCRIPTION Machine Learning and Big Data are playing an ever-greater role in the wind industry. Vast amounts of data are being generated by […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":32,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-611","page","type-page","status-publish","hentry"],"yoast_head":"\nDay three, 10 June - WindEurope Technology Workshop 2020<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/windeurope.org\/workshops\/tech2020\/programme\/day-three\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Day three, 10 June - WindEurope Technology Workshop 2020\" \/>\n<meta property=\"og:description\" content=\"13:00-14:10Machine learning & big data 14:10-14:30Short break 14:30-16:00Resource Assessment: Latest news in models and data Posters & Networking \u2013 including exhibitors\u2019 private sessions Plenary Session \u2013 Machine Learning & Big Data SESSION DESCRIPTION Machine Learning and Big Data are playing an ever-greater role in the wind industry. 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