Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron

Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron

A stable power supply is very important in the management of power infrastructure. One of the critical tasks in accomplishing this is to predict power consumption accurately, which usually requires considering diverse factors, including environmental, social, and spatial-temporal factors. Depending...

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Bibliographic Details
Main Authors: Jihoon Moon, Yongsung Kim, Minjae Son, Eenjun Hwang
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
hybrid forecast model
electrical load forecasting
time series analysis
random forest
multilayer perceptron
Online Access:https://www.mdpi.com/1996-1073/11/12/3283

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