Feature averaging of historical meteorological data with machine and deep learning assist wind farm power performance analysis and forecasts
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12667-022-00502-x.pdf
Reference93 articles.
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3. Mal, S., Singh, R.B., Huggel, C.: Climate Change, Extreme Events and Disaster Risk Reduction: Towards Sustainable Development Goals. Springer International Publishing, Cham (2018). https://doi.org/10.1007/978-3-319-56469-2
4. Rebennack, S., Pardalos, P.M., Pereira, M.V.F., Iliadis, N.A. (eds.): Handbook of Power Systems I, Energy Systems. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-02493-1
5. Rebennack, S., Pardalos, P.M., Pereira, M.V.F., Iliadis, N.A. (eds.): Handbook of Power Systems II, Energy Systems. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12686-4
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