Machine Learning-Based Forecasting of the Automatic Frequency Restoration Reserve Demand.
Martin HenychOndrej MamulaPavel SovkaPremysl SuchaPublished in: ISGT EUROPE (2023)
Keyphrases
- machine learning
- demand forecasting
- computer vision
- decision trees
- long term
- pattern recognition
- fully automatic
- learning systems
- image processing
- semi supervised learning
- short term
- machine learning methods
- inductive logic programming
- machine learning algorithms
- electricity markets
- image restoration
- neural network
- data sets
- artificial intelligence
- genetic algorithm
- text classification
- inductive learning
- weather forecasting
- data mining
- explanation based learning
- machine learning approaches
- lead time
- low frequency
- prediction model
- learning algorithm
- feature selection
- reinforcement learning
- expert systems
- denoising