Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training

The paper presents a new approach for the prediction of load active power 24 h ahead using an attended sequential encoder and stacked decoder model with Long Short-Term Memory cells. The load data are owned by the New York Independent System Operator (NYISO) and is dated from the years 2014–2017. Du...

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Bibliographic Details
Main Authors: Sylwia Henselmeyer, Marcin Grzegorzek
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/11/4927

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