Short-Term Electricity Load Forecasting Based on Temporal Fusion Transformer Model

Short-Term Electricity Load Forecasting Based on Temporal Fusion Transformer Model

Electricity load forecasting plays an important role in the operation of power systems. Inaccurate forecast would reduce the safety of power supply and affect the economic and social activities as well as national defense and security. In addition, the forecast results also support decision-making o...

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Bibliographic Details
Main Authors: Pham Canh Huy, Nguyen Quoc Minh, Nguyen Dang Tien, Tao Thi Quynh Anh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Power systems
load forecasting
artificial intelligence
recurrent neural network
temporal fusion transformer
Online Access:https://ieeexplore.ieee.org/document/9910162/

Internet

https://ieeexplore.ieee.org/document/9910162/

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