Hardware-Centric Exploration of the Discrete Design Space in Transformer–LSTM Models for Wind Speed Prediction on Memory-Constrained Devices

Hardware-Centric Exploration of the Discrete Design Space in Transformer–LSTM Models for Wind Speed Prediction on Memory-Constrained Devices

Wind is one of the most important resources in the renewable energy basket. However, there are questions regarding wind as a sustainable solution, especially concerning its upfront costs, visual impact, noise pollution, and bird collisions. These challenges arise in commercial windmills, whereas for...

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Bibliographic Details
Main Authors: Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Kashish Ara Shakil, Mudasir Ahmad Wani, Muhammad Asim
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
wind speed prediction
power forecasting
hyperparameter tuning
model size optimization
renewable energy management
on-device deployment
Online Access:https://www.mdpi.com/1996-1073/18/9/2153
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