Electricity Consumption Forecasting Using Gated-FCN With Ensemble Strategy

Electricity Consumption Forecasting Using Gated-FCN With Ensemble Strategy

Accurate electricity consumption forecasting in the power grids ensures efficient generation and distribution of electricity. Keeping this in mind, the paper introduces a novel deep learning model, termed Gated-FCN, for short-term load forecasting. The key idea is to introduce an automated feature s...

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Bibliographic Details
Main Authors: Aqdas Naz, Nadeem Javaid, Muhammad Asif, Muhammad Umar Javed, Abrar Ahmed, Sardar Muhammad Gulfam, Muhammad Shafiq, Jin-Ghoo Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning forecasting technique
enhanced BiGRU
electricity consumption forecasting
gated FCN
smart grid
weighted averaging technique
Online Access:https://ieeexplore.ieee.org/document/9537758/

Internet

https://ieeexplore.ieee.org/document/9537758/

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