LSTM-RNN-FNN Model for Load Forecasting Based on Deleuze’s Assemblage Perspective

LSTM-RNN-FNN Model for Load Forecasting Based on Deleuze’s Assemblage Perspective

Reliable load forecasting is essential for electricity generation and even for people’s lives. However, the existing load forecasting theories cannot match the requirements of complex systems (e.g., smart grids). Deleuze’s metaphysical complexity theory is seen as the theoretical foundation for comp...

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Bibliographic Details
Main Authors: Jie Xin, Zhenyu Wei, Yujie Dong, Wan Ni
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Energy Research
Subjects:
load forecasting
assemblage
neural networks
LSTM-RNN-FNN
Deleueze
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.905359/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.905359/full

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