Managing Anomalies in Energy Time Series for Automated Forecasting.
Marian TurowskiOliver NeumannLisa MannspergerKristof KrausKira LayerRalf MikutVeit HagenmeyerPublished in: EI.A (2023)
Keyphrases
- weather forecasting
- financial time series
- electricity consumption
- forecasting accuracy
- arma model
- short term
- box jenkins
- energy consumption
- multivariate time series data
- forecast models
- semi automated
- multivariate time series
- anomaly detection
- chaotic time series
- fully automated
- dynamic time warping
- exponential smoothing
- detect anomalies
- long term
- support vector regression
- prediction model
- energy minimization
- forecasting model
- minimum energy
- detecting anomalies
- turning points
- stock market
- data mining
- subsequence matching
- garch model
- anomalous behavior
- moving average
- automated analysis
- medium term