Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms

Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms

Due to their inherent variability, incorporating renewable energy sources into current power grids poses major challenges. This study aims to optimize renewable energy integration using Internet of Things (IoT) technology and machine learning (ML) algorithms. The study was conducted across 30 renewa...

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Bibliographic Details
Main Authors: Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva
Format: Article
Language:English
Published: University of Novi Sad, Faculty of Technical Sciences 2025-03-01
Series:International Journal of Industrial Engineering and Management
Subjects:
renewable energy
internet of things
machine learning
forecasting
grid optimization
Online Access:http://www.ijiemjournal.uns.ac.rs/images/journal/volume16/IJIEM_375.pdf
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