Forecasting Battery Electric Vehicle Charging Behavior: A Deep Learning Approach Equipped with Micro-Clustering and SMOTE Techniques.
Hanif TayaraniTrisha V. RamadossVaishnavi KaranamGil TalChristopher NittaPublished in: CoRR (2023)
Keyphrases
- deep learning
- unsupervised learning
- electric vehicle charging
- renewable energy
- wind power
- unsupervised feature learning
- machine learning
- clustering algorithm
- wind speed
- short term
- supervised learning
- k means
- neural network
- electric vehicles
- information extraction
- semi supervised
- long term
- named entities
- neuro fuzzy
- mental models
- multiscale
- computer vision