Industrial Ultra-Short-Term Load Forecasting With Data Completion

Industrial Ultra-Short-Term Load Forecasting With Data Completion

Accurate and efficient ultra-short-term load forecasting is crucial for industrial power users to have stabilized and optimized operations. In this paper, we develop novel strategies for industrial power users to handle their challenges in ultra-short-term load forecasting. Firstly, this paper propo...

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Bibliographic Details
Main Authors: Haoyu Jiang, Angjian Wu, Bo Wang, Peizhe Xu, Gang Yao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cubature Kalman filter
least squares support vector machine
grey neural network
PSO-SVR
combined model
clonal immune algorithm
Online Access:https://ieeexplore.ieee.org/document/9170589/

Internet

https://ieeexplore.ieee.org/document/9170589/

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