Photovoltaic power forecasting using quantum machine learning.
Asel SagingalievaStefan KomornyikArsenii SenokosovAyush JoshiAlexander SedykhChristopher MansellOlga TsurkanKaran PintoMarkus PflitschAlexey MelnikovPublished in: CoRR (2023)
Keyphrases
- machine learning
- load forecasting
- maximum power point tracking
- solar energy
- short term
- pattern recognition
- machine learning methods
- wind power
- feature selection
- power plant
- learning systems
- data mining
- electric power
- power consumption
- learning algorithm
- weather forecasting
- decision trees
- learning tasks
- information extraction
- neural network
- medium term
- computer vision
- knowledge discovery
- support vector regression
- machine learning algorithms
- text classification
- natural language processing
- knowledge acquisition
- forecast models
- computational intelligence
- renewable energy
- quantum inspired
- forecasting accuracy
- quantum mechanics
- power generation
- power grid
- supervised learning
- statistical methods
- electricity markets
- small scale