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Short-Term Forecasting of Wind Power Workshop

Workshop Video Day 1

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Program of the first day (time in brackets are the times in the video):
09:00 Arrival and registration
09:30 (1:24) Introduction
Workshop goals
(15:32) Introductions
10:00 (37:45) Where are we with very short-term forecasting?

  • David Schlipf, Uni Stuttgart: Introduction to Task 32; Presentation of State of the art lidar applications
  • (52:40) Gregor Giebel, DTU: Introduction to Task 36; Presentation of state of the art forecasting techniques and overview of different forecasting horizons. What are the gaps that need to be filled in the short/very-short term region?
    11:00 Break
    11:15 (1:39:00) What is the target forecasting time and parameter?
    Plenum discussion and viewpoints from different stakeholders; definition of short-term forecasting horizon, on which factors does it depend?
    12:00 Experiences with very short-term forecasting Part 1 SCADA Data
    Presentation of different stakeholders
  • (2:27:40) Ciaran Gilbert, Uni Strathclyde, Pierre Pinson, Jakob Messner, DTU Elektro: Very high resolution forecasts using a nested LES system
  • (2:54:45) Christopher Bay, NREL: Wind direction consensus and forecasting for improved wind farm operation
    12:30 Lunch
    13:15 Experiences with very short-term forecasting Part 1 SCADA Data
    Presentation of different stakeholders:
  • (3:59:07) Harley Mackenzie, HARD Software Australia: Short term forecasting of wind power plant generation for system stability and provision of ancillary services
  • (4:39:20) Bahri Uzunoglu, Uppsala University: Maximum likelihood ensemble filter SCADA data assimilation for wind farms for very short-term forecasting
    14:15 Experiences with very short-term forecasting Part 2 Lidar & Radar
  • (5:00:35) Anamaria Sirghie, Jesper Thiesen and Mikkel Hansen, ConWX: Lidar based short term forecast for offshore wind
  • (5:15:45) John Zack, AWS Truepower: Intra-hour wind ramp forecasting in Hawaii using scanning lidar
    15:00 Break
    15:30 Experiences with very short-term forecasting Part 2 Lidar & Radar
  • (6:28:20) Corinna Mohrlen, WEPROG, Can Lidars replace met masts in real-time system operation: results from a study for the Irish TSOs
  • (6:54:08) Laura Valldecabres, Uni Oldenburg: Very short-term probabilistic forecast of offshore wind power using dual-Doppler radar
  • (7:13:20) Elliot Simon, DTU Wind Energy: A machine learning approach for intra-hour wind speed forecasting using scanning lidar inflow measurements
  • (7:42:20) Alexandre Costa, Gabriel Dantas and Valentin Perruci, UFPE Brazil: An operational forecasting tool using different approaches – results from the HPC4E EU project and the EOLIPREV Brazilian project
    17:30 (8:09:45) Conclusions of the day
    17:35 End of Day 1

Workshop Video Day 2

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Program for day 2 (times in the stream are in brackets):
09:00 (00:45) Welcome and recap of Day 1
09:15 Looking over the horizon: Experiences with remote sensing devices

  • (04:35)Thomas Schmidt, DLR, Short term solar forecasting from sky imaging, up to 30 min
  • (36:56) Ines Würth, Uni Stuttgart, How far can we see? Analysis of the measurement range of long-range lidar data for short-term forecasting
    10:00 World Cafe: What are the barriers and what are possible solutions
    Splitting into different working groups decided during the plenum discussion, e.g.
  • SCADA data
  • Lidar
  • Radar
    Discussions taking into account different forecasting horizons
    10:30 Break
    10:45 (1:05:10) World Cafe: What are the barriers and what are possible solutions
    11:15 (2:34:02) Presentation of the results from each group and discussion
    12:00 (2:57:40) Summary of the workshop and formulation of next steps
    12:30 End of workshop

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