Nearest Neighbors Time Series Forecaster Based on Phase Space Reconstruction for Short-Term Load Forecasting

Nearest Neighbors Time Series Forecaster Based on Phase Space Reconstruction for Short-Term Load Forecasting

Load forecasting provides essential information for engineers and operators of an electric system. Using the forecast information, an electric utility company’s engineers make informed decisions in critical scenarios. The deregulation of energy industries makes load forecasting even more critical. I...

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Bibliographic Details
Main Authors: Jose R. Cedeño González, Juan J. Flores, Claudio R. Fuerte-Esquivel, Boris A. Moreno-Alcaide
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
short-term load forecasting
machine learning
time series forecasting
nearest neighbors algorithm
Online Access:https://www.mdpi.com/1996-1073/13/20/5309

Internet

https://www.mdpi.com/1996-1073/13/20/5309

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