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DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load
  Forecasting with LSTM Networks

DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks

15 May 2023
Firas Bayram
Phil Aupke
Bestoun S. Ahmed
A. Kassler
A. Theocharis
Jonas Forsman
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks"

4 / 4 papers shown
Title
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
Abdullah Burkan Bereketoglu
AI4TSAI4CE
11
0
0
15 Jun 2025
Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
Manal Rahal
Bestoun S. Ahmed
Roger Renstrom
Robert Stener
Albrecht Wurtz
9
0
0
03 Jun 2025
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
Guang Wu
Yun Wang
Qian Zhou
Ziyang Zhang
AI4TS
217
2
0
03 Dec 2024
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
Qi Dong
Rubing Huang
Chenhui Cui
Dave Towey
Ling Zhou
Jinyu Tian
Jianzhou Wang
AI4TS
73
1
0
29 Aug 2024
1