Short-Term Load Forecasting Using Neural Networks with Pattern Similarity-Based Error Weights

Short-Term Load Forecasting Using Neural Networks with Pattern Similarity-Based Error Weights

Forecasting time series with multiple seasonal cycles such as short-term load forecasting is a challenging problem due to the complicated relationship between input and output data. In this work, we use a pattern representation of the time series to simplify this relationship. A neural network train...

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Bibliographic Details
Main Author: Grzegorz Dudek
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
multiple seasonality
neural networks
pattern representation of time series
short-term load forecasting
time-series forecasting
Online Access:https://www.mdpi.com/1996-1073/14/11/3224

Internet

https://www.mdpi.com/1996-1073/14/11/3224

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