Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices

Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices

Accurate wind speed prediction (WSP) remains essential for optimizing energy management in small-scale domestic windmills. Server-dependent machine learning models, commonly deployed in wind farms, prove infeasible for domestic systems due to high costs and energy demands. While edge computing offer...

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Bibliographic Details
Main Authors: Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Muhammad Asim, Samia Allaoua Chelloug, Mohammed A. ELAffendi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptive simulated annealing
deep learning
edge devices
hyperparameter optimization
renewable energy
wind speed prediction
Online Access:https://ieeexplore.ieee.org/document/11045928/
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https://ieeexplore.ieee.org/document/11045928/

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