Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing.
Bingchun LiuXiaoling GuoMingzhao LaiQingshan WangPublished in: Comput. Intell. Neurosci. (2020)
Keyphrases
- short term
- information gain
- wavelet transform
- long term
- power generation
- decision trees
- feature selection
- text categorization
- mutual information
- chi squared
- load forecasting
- short term and long term
- forecasting model
- medium term
- wavelet analysis
- arima model
- stock market
- wind speed
- short and long term
- naive bayes
- feature extraction
- long term memory
- machine learning
- wind power
- gain ratio
- short term prediction