A Novel Technique for Short-Term Load Forecasting Using Sequential Models and Feature Engineering

A Novel Technique for Short-Term Load Forecasting Using Sequential Models and Feature Engineering

With the advent of smart grid, load forecasting is emerging as an essential technology to implement optimal planning and control of grid assets. Ergo in recent years, a significant thrust can be witnessed for the research towards the improvement of the prediction of the energy demand. However thus f...

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Bibliographic Details
Main Authors: Abdul Wahab, Muhammad Anas Tahir, Naveed Iqbal, Adnan Ul-Hasan, Faisal Shafait, Syed Muhammad Raza Kazmi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Load forecasting
smart grids
deep learning
feature engineering
sequential models
Online Access:https://ieeexplore.ieee.org/document/9467267/

Internet

https://ieeexplore.ieee.org/document/9467267/

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