An Optimized Heterogeneous Structure LSTM Network for Electricity Price Forecasting

An Optimized Heterogeneous Structure LSTM Network for Electricity Price Forecasting

Electricity price is an important indicator of the market operation. Accurate prediction of electricity price will facilitate the maximization of economic benefits and reduction of risks to the power market. At the same time, because of the excellent performance of deep learning models, using long-s...

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Bibliographic Details
Main Authors: Siyu Zhou, Lin Zhou, Mingxuan Mao, Heng-Ming Tai, Yihao Wan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Long short-term memory neural network
neural network structure
hyperparameter optimization
time series analysis
electricity price forecasting
Online Access:https://ieeexplore.ieee.org/document/8787887/

Internet

https://ieeexplore.ieee.org/document/8787887/

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