Forecasting Solar Photovoltaic Power Output in the German Jordanian University in Amman Using Artificial Intelligence and Machine Learning Algorithms.
Sahar QaadanAiman AlsharePublished in: ICCMA (2022)
Keyphrases
- machine learning algorithms
- maximum power point tracking
- solar energy
- artificial intelligence
- machine learning
- small scale
- benchmark data sets
- learning algorithm
- decision trees
- renewable energy
- predictive accuracy
- machine learning methods
- learning problems
- short term
- wind power
- random forests
- transfer learning
- computational intelligence
- machine learning systems
- machine learning models
- input features
- neural network
- standard machine learning algorithms
- machine learning approaches
- prediction model
- electricity markets
- forecasting model
- data sets
- learning tasks
- operating point
- power consumption
- multi class
- general purpose
- feature vectors
- e learning
- renewable energy sources
- schottky barrier
- logistic regression