Short-term air pollution forecasting based on environmental factors and deep learning models.
Mirche ArsovEftim ZdravevskiPetre LameskiRoberto CorizzoNikola KoteliKosta MitreskiVladimir TrajkovikPublished in: FedCSIS (2020)
Keyphrases
- short term
- learning models
- environmental factors
- air pollution
- long term
- air quality
- environmental conditions
- forecasting model
- machine learning
- loss function
- semi supervised learning
- learning algorithm
- public sector
- learning tasks
- machine learning algorithms
- medium term
- load forecasting
- conditional random fields
- arima model
- classification models
- learning problems
- stock market
- wind speed
- data mining
- e government
- wind power
- reinforcement learning
- image processing
- short term prediction