An ADMM-LSTM framework for short-term load forecasting

DOI10.1016/j.neunet.2024.106150zbMATH Open1540.90048MaRDI QIDQ6536104

Shuo Liu, Tao Huang, Zhengmin Kong, Wei Xiang, Yang Du

Publication date: 27 March 2024

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

short-term load forecastingalternating direction method of multiplierslong short-term memory networkgradient-free feature

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10)

Cites Work

• Unnamed Item
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• The Model Confidence Set
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• A dual algorithm for the solution of nonlinear variational problems via finite element approximation
• Manifold regularized matrix completion for multi-label learning with ADMM
• Efficient learning rate adaptation based on hierarchical optimization approach

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