A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-Term Load Forecasting

A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-Term Load Forecasting

An accurate electrical Short-term Load Forecasting (STLF) is an eminent factor in the power generation, electrical load dispatching and energy planning for the power supply companies, specifically in developing countries. This paper proposes a novel temporal feature selection-based Long Short-term M...

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Bibliographic Details
Main Authors: Khalid Ijaz, Zawar Hussain, Jameel Ahmad, Syed Farooq Ali, Muhammad Adnan, Ikramullah Khosa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural network
deep learning
load forecasting
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/9849665/

Internet

https://ieeexplore.ieee.org/document/9849665/

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