Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting

Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting

Short-term power consumption forecasting plays a critical role in the process of building the smart grid. However, it is very challenging as the power consumption series has strong randomness and volatility. In this paper, the authors proposed a novel domain fusion deep model based on convolutional...

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Bibliographic Details
Main Authors: Xiaorui Shao, Chen Pu, Yuxin Zhang, Chang Soo Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Smart grid
power consumption forecasting
time series forecasting
CNN-LSTM
domain fusion
Online Access:https://ieeexplore.ieee.org/document/9229086/

Internet

https://ieeexplore.ieee.org/document/9229086/

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