Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
Laura Melgar-GarcíaDavid Gutiérrez-AvilésCristina Rubio-EscuderoAlicia TroncosoPublished in: ICDM (Workshops) (2022)
Keyphrases
- incremental learning
- real time
- demand forecasting
- nearest neighbor
- electricity markets
- electricity consumption
- short term
- fuzzy artmap
- incremental learning algorithm
- wind power
- load forecasting
- learning process
- knn
- batch learning
- renewable energy
- forecasting accuracy
- electric power
- supervised learning
- k nearest neighbor
- semi supervised
- neural learning
- data points
- data mining
- power generation
- forecast models
- batch mode
- nearest neighbor search
- neural network
- decision boundary
- iterative learning
- software agents
- data distribution
- high dimensional data
- control system
- active learning
- similarity measure
- machine learning
- data sets