Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data

Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data

Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This precise forecasting enables grid operators to enhance safety and optimize grid...

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Bibliographic Details
Main Authors:	Manisha Galphade, V. B. Nikam, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma
Format:	Article
Language:	English
Published:	Universidad Internacional de La Rioja (UNIR) 2025-06-01
Series:	International Journal of Interactive Multimedia and Artificial Intelligence
Online Access:	https://www.ijimai.org/journal/bibcite/reference/3460
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