Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning.
Roman Michael SennefelderRubén Martín-ClementeRamón González CarvajalDimitar TrifonovPublished in: IEEE Access (2023)
Keyphrases
- data driven
- machine learning
- prediction accuracy
- public transport
- public transportation
- energy consumption
- pattern recognition
- prediction model
- data mining
- prediction error
- machine learning approaches
- predictive modeling
- power generation
- artificial intelligence
- supervised learning
- natural language processing
- machine learning algorithms
- low energy
- machine learning methods
- energy minimization
- learning algorithm
- prediction algorithm
- urban areas
- power supply
- computational biology
- learning systems
- computational intelligence
- support vector machine
- active learning
- computer science
- feature selection
- travel time
- regression model
- neural network
- markov random field
- data analysis
- computer vision
- electrical power