Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting

Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting

Short-term load forecasting (STLF) plays an important role in facilitating efficient and reliable operations of power systems and optimizing energy planning in the electricity market. To improve the accuracy of power load prediction, an adaptive clustering long short-term memory network is proposed...

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Bibliographic Details
Main Authors: Yuanhang Qi, Haoyu Luo, Yuhui Luo, Rixu Liao, Liwei Ye
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
power load forecasting
neural network
clustering algorithm
long short-term memory network
Online Access:https://www.mdpi.com/1996-1073/16/17/6230

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https://www.mdpi.com/1996-1073/16/17/6230

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