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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
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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
Abdullah Burkan Bereketoglu
AI4TS
AI4CE
9
0
0
15 Jun 2025
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
7
0
0
03 Jun 2025
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
Qi Dong
Rubing Huang
Chenhui Cui
Dave Towey
Ling Zhou
Jinyu Tian
Jianzhou Wang
AI4TS
73
1
0
29 Aug 2024
1