Day three, 10 June
Machine learning & big data
14:10-14:30
Short break
Resource Assessment: Latest news in models and data
Posters & Networking – including exhibitors’ private sessions
Plenary Session – 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 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.
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.
SESSION CHAIRS
Jake Badger
Head of Section, Wind Resource Assessment Modelling, DTU Wind Energy
Berith Klug
Head of Operational Excellence, Siemens Gamesa Renewable Energy
SPEAKERS
Giuseppe Angelo Porcelli
Principal Specialist Solutions Architect – Machine Learning, Amazon
Jorge López
Business Developer, Green Eagle Solutions
Smart Energy Control Centers (SECCs) to revolutionize operation strategies for asset performance and maintenance cost optimisation through automatization
Kévin Clément
Engineer, DNV GL
Operational wind farm availability: learning from data
Resource Assessment – Latest news in models and data
SESSION DESCRIPTION
Sometimes it’s difficult to fit the most cutting-edge research in a particular workshop session, either because it’s 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.
Learning objectives:
SESSION CHAIR
José Vidal
Technical Director of Energy Advisory, UL
SPEAKERS
Marta Gil Bardaji
Wind Data Analyst, Vortex FdC
Revisiting mesoscale: how MPAS can make wind resource modeling really seamless
Charles Henderson
Stacker Group CEO and ENTR Organizer, Stacker Group
ENTR: an open-source initiative by owner-operators to establish a reference architecture for data standardization in the wind industry
John Medley
Senior Data Scientist, ZX Lidars
A new international standard for wind speed measurement with nacelle-mounted lidar and its implications for CW-scanning lidar
Alex Clerc
SMART Product Manager, RES
A novel dynamic curtailment solution for amplitude modulation
Giancarlo Potenza
Project Manager, Enel Green Power
CL-WINDCON project – EU H2020 project