Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting

Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting

Power grids are transforming into flexible, smart, and cooperative systems with greater dissemination of distributed energy resources, advanced metering infrastructure, and advanced communication technologies. Short-term electric load forecasting for individual residential customers plays a progress...

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Bibliographic Details
Main Authors: Musaed Alhussein, Khursheed Aurangzeb, Syed Irtaza Haider
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CNN
deep learning framework
energy consumption
energy consumption forecasting
individual household
LSTM
Online Access:https://ieeexplore.ieee.org/document/9210478/

Internet

https://ieeexplore.ieee.org/document/9210478/

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