A hybrid of MLP-Mixer, Informer, and KAN with two-stage transfer learning is claimed to reduce EV charging load forecast errors by 4% to 8% on a 26-station dataset.
A transfer learning method for electric vehicles charging strategy based ondeepreinforcementlearning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Mixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations
A hybrid of MLP-Mixer, Informer, and KAN with two-stage transfer learning is claimed to reduce EV charging load forecast errors by 4% to 8% on a 26-station dataset.