A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

Electric energy forecasting domain attracts researchers due to its key role in saving energy resources, where mainstream existing models are based on Gradient Boosting Regression (GBR), Artificial Neural Networks (ANNs), Extreme Learning Machine (ELM) and Support Vector Machine (SVM). These models e...

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Bibliographic Details
Main Authors: Muhammad Sajjad, Zulfiqar Ahmad Khan, Amin Ullah, Tanveer Hussain, Waseem Ullah, Mi Young Lee, Sung Wook Baik
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CNN
CNN-GRU
deep learning
energy forecasting
electricity consumption prediction
GRU
Online Access:https://ieeexplore.ieee.org/document/9141253/

Internet

https://ieeexplore.ieee.org/document/9141253/

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