At Scale Short-Term Forecasting and Anomaly Detection for GHG emissions with Digital Twins.
Manuel Peña MuñozSavvas George MakariouSachio KobayashiPublished in: ISC2 (2023)
Keyphrases
- short term
- anomaly detection
- long term
- intrusion detection
- forecasting model
- anomalous behavior
- detecting anomalies
- load forecasting
- network traffic
- short term and long term
- network anomaly detection
- long term memory
- network intrusion detection
- intrusion detection system
- stock market
- medium term
- wind speed
- one class support vector machines
- detect anomalies
- short and long term
- arima model
- negative selection algorithm
- electric power
- unsupervised learning
- chaotic time series
- short term prediction
- power generation
- wind power
- motion estimation