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...
Main Authors: | Sylwia Henselmeyer, Marcin Grzegorzek |
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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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