Forecasting Energy Demand by Clustering Smart Metering Time Series.
Christian BockPublished in: IPMU (1) (2018)
Keyphrases
- weather forecasting
- forecasting accuracy
- demand forecasting
- financial time series
- smart grid
- clustering algorithm
- clustering method
- data mining tasks
- energy consumption
- k means
- cluster analysis
- multivariate time series
- spectral clustering
- hierarchical clustering
- streaming time series
- electricity consumption
- exponential smoothing
- forecast models
- electrical energy
- categorical data
- stock market
- arma model
- non stationary
- energy management
- multivariate time series data
- forecasting model
- neural network model
- hybrid model
- dynamic time warping
- fuzzy clustering
- box jenkins
- data points
- sensor networks
- distance measure
- unsupervised learning
- data mining
- self organizing maps
- garch model
- short term
- moving average
- outlier detection
- stock price
- energy minimization
- bp neural network