Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

Machine learning algorithms have been intensively applied to perform load forecasting to obtain better accuracies as compared to traditional statistical methods. However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. Optimal and effect...

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Bibliographic Details
Main Authors: Ameema Zainab, Ali Ghrayeb, Haitham Abu-Rub, Shady S. Refaat, Othmane Bouhali
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Apache spark
concurrent computing
load forecasting
parallel processing
resource management
Online Access:https://ieeexplore.ieee.org/document/9400851/

Internet

https://ieeexplore.ieee.org/document/9400851/

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