More than accuracy: end-to-end wind power forecasting that optimises the energy system

Author:

Wahdany Dariush,Schmitt CarloORCID,Cremer Jochen L.ORCID

Funder

Agencia de Innovación y Desarrollo de Andalucía

TU Delft

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference31 articles.

1. Short-term integration costs of variable renewable energy: Wind curtailment and balancing in Britain and Germany;Joos;Renew. Sustain. Energy Rev.,2018

2. State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis;Yang;J. Clean. Prod.,2020

3. Unit Commitment with Wind Power Generation: Integrating Wind Forecast Uncertainty and Stochastic Programming;Constantinescu,2009

4. Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for probabilistic framework;Zhao;Energy Convers. Manage.,2020

5. A novel ensemble algorithm for solar power forecasting based on kernel density estimation;Lotfi;Energies,2020

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