An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads

An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads

Accurate forecasting of demand load is momentous for the efficient economic dispatch of generating units with enormous economic and reliability implications. However, with the high integration levels of grid-tie generations, the precariousness in demand load forecasts is unreliable. This paper propo...

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Bibliographic Details
Main Authors: Kofi Afrifa Agyeman, Gyeonggak Kim, Hoonyeon Jo, Seunghyeon Park, Sekyung Han
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
Bayesian
deep neural network
demand load forecast
distributed load
ensemble algorithm stochastic
K-means
Online Access:https://www.mdpi.com/1996-1073/13/10/2658

Internet

https://www.mdpi.com/1996-1073/13/10/2658

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