Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.
Jorge Ángel González OrdianoLutz GröllRalf MikutVeit HagenmeyerPublished in: CoRR (2019)
Keyphrases
- nearest neighbor
- regularized kernel
- central limit theorem
- short term
- electricity consumption
- bandpass
- machine learning
- data points
- k nearest neighbor
- energy consumption
- forecast models
- long term
- probabilistic model
- knn
- energy minimization
- generative model
- nearest neighbor algorithm
- exchange rate
- energy saving
- distance function
- data sets
- sensor networks
- query processing
- bayesian networks
- neural network