Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting.
Chengdong ShiXiao-Jun ZengPublished in: IJCNN (2022)
Keyphrases
- machine learning
- data analysis
- maximum power point tracking
- solar energy
- pulse width
- data mining
- pattern recognition
- load forecasting
- knowledge discovery
- power consumption
- machine learning methods
- power plant
- small scale
- short term
- data processing
- text mining
- data collection
- business intelligence
- machine learning algorithms
- wind power
- decision trees
- electricity consumption
- biological data
- thin film
- big data
- learning algorithm
- statistics and machine learning
- arima model
- forecasting model
- power generation
- computer vision
- learning tasks
- knowledge acquisition
- computational intelligence
- supervised learning
- data visualization
- nonlinear models
- prediction model
- cluster analysis
- power system
- functional verification
- data warehouse
- long term
- artificial intelligence