Smart Urban Wind Power Forecasting: Integrating Weibull Distribution, Recurrent Neural Networks, and Numerical Weather Prediction

Smart Urban Wind Power Forecasting: Integrating Weibull Distribution, Recurrent Neural Networks, and Numerical Weather Prediction

The design, operational planning, and integration of wind power plants with other renewables and the grid face challenges attributed to the intermittent nature of wind power generation. Addressing this issue necessitates the development of a smart wind power (and in particular wind speed) forecastin...

Full description

Bibliographic Details
Main Authors: Navid Shirzadi, Fuzhan Nasiri, Ramanunni Parakkal Menon, Pilar Monsalvete, Anton Kaifel, Ursula Eicker
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
wind power generation
wind speed forecasting
deep learning
Weibull distribution
numerical weather prediction
smart cities
Online Access:https://www.mdpi.com/1996-1073/16/17/6208

Internet

https://www.mdpi.com/1996-1073/16/17/6208

Similar Items