Improving the Efficiency of Deep Learning Models Using Supervised Approach for Load Forecasting of Electric Vehicles.
Tallataf RasheedAbdul Rauf BhattiMuhammad FarhanAkhtar RasoolTarek H. M. El-FoulyPublished in: IEEE Access (2023)
Keyphrases
- learning models
- electric vehicles
- load forecasting
- learning algorithm
- power system
- machine learning
- short term
- loss function
- semi supervised learning
- learning problems
- learning tasks
- machine learning algorithms
- long term
- supervised learning
- conditional random fields
- classification models
- electric power
- semi supervised
- unsupervised learning
- support vector regression
- smart grid
- bp neural network
- computational intelligence
- multi objective
- feature space
- training data
- intelligent control
- decision making
- probabilistic model