An Extensible Framework for Short-Term Holiday Load Forecasting Combining Dynamic Time Warping and LSTM Network

An Extensible Framework for Short-Term Holiday Load Forecasting Combining Dynamic Time Warping and LSTM Network

Due to the extreme change of human behavior, the load consumption in public holidays fluctuates more significantly compared to general weekdays resulting in the difficulty of hourly holiday load forecasting. The holiday load forecasting is even challenging because the forecast is practically predict...

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Bibliographic Details
Main Authors: Jeffrey Gunawan, Chin-Ya Huang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Holiday load forecasting
short-term load forecasting (STLF)
long-short term memory (LSTM)
dynamic time warping (DTW)
Online Access:https://ieeexplore.ieee.org/document/9495765/

Internet

https://ieeexplore.ieee.org/document/9495765/

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