On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach

On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach

Since electricity plays a crucial role in countries' industrial infrastructures, power companies are trying to monitor and control infrastructures to improve energy management and scheduling. Accurate forecasting is a critical task for a stable and efficient energy supply, where load and supply...

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Bibliographic Details
Main Authors: Behnam Farsi, Manar Amayri, Nizar Bouguila, Ursula Eicker
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electricity
smart grids
load consumption
short-term load forecasting
deep learning
time series
Online Access:https://ieeexplore.ieee.org/document/9356582/

Internet

https://ieeexplore.ieee.org/document/9356582/

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