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Lesson 1: Introduction to renewable energy forecasting

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Videos: Forecasting and Control - Towards Digital Grids
Get updated on the state of the art methods for Energy Systems Integration in these videos with Professor Henrik Madsen from DTU Compute – the section for Dynamical Systems. The videos are made in collaboration with EIT InnoEnergy at the university KU Leuven in Belgium.
Get an introduction to forecasting methods – and learn about digitization of the grids and energy markets.
Lesson 1 – 2 – 3: State of the art of forecasting
Lesson 1: Introduction to renewable energy forecasting: (MET input, data, adaptivety, combined forecasting, etc.), 7:38 min.
Lesson 2: Point forecasts of wind and solar power production: (with a focus on wind and solar energy production), 7:10 min.
Lesson 3: Probabilistic and full stochastic forecasting, 6:51 min.
Lesson 4 – 5 – 6: Digitization of the grids and energy markets
Lesson 4: The challenges of the climate crisis and the integration of renewables, 11:34 min.
Lesson 5: Unlocking end-user flexibility: (description of flexibility, use of flexibility for, demand response, etc.), 10:01 min.
Lesson 6: Data-intelligent operation of future smart energy systems, 8:24 min.
Get updated on the state of the art methods for Energy Systems Integration in these videos with Professor Henrik Madsen from DTU Compute – the section for Dynamical Systems. The videos are made in collaboration with EIT InnoEnergy at the university KU Leuven in Belgium.
Get an introduction to forecasting methods – and learn about digitization of the grids and energy markets.
Lesson 1 – 2 – 3: State of the art of forecasting
Lesson 1: Introduction to renewable energy forecasting: (MET input, data, adaptivety, combined forecasting, etc.), 7:38 min.
Lesson 2: Point forecasts of wind and solar power production: (with a focus on wind and solar energy production), 7:10 min.
Lesson 3: Probabilistic and full stochastic forecasting, 6:51 min.
Lesson 4 – 5 – 6: Digitization of the grids and energy markets
Lesson 4: The challenges of the climate crisis and the integration of renewables, 11:34 min.
Lesson 5: Unlocking end-user flexibility: (description of flexibility, use of flexibility for, demand response, etc.), 10:01 min.
Lesson 6: Data-intelligent operation of future smart energy systems, 8:24 min.
Lesson 1: Introduction to renewable energy forecasting
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