A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid

A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid

With the rapid increase in the world’s population, the global electricity demand has increased drastically. Therefore, it is required to adopt efficient energy management mechanisms. Since the energy consumption trends are rather dynamic. Therefore, precise energy demand estimation and sh...

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Bibliographic Details
Main Authors: Thamer Alquthami, Muhammad Zulfiqar, Muhammad Kamran, Ahmad H. Milyani, Muhammad Babar Rasheed
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Smart grids
electric load forecasting
machine learning algorithms
logistic regression
decision tree
Online Access:https://ieeexplore.ieee.org/document/9765492/

Internet

https://ieeexplore.ieee.org/document/9765492/

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