Interpretable Machine Learning In Sustainable Edge Computing: A Case Study of Short-Term Photovoltaic Power Output Prediction.
Xiaomin ChangWei LiJin MaTing YangAlbert Y. ZomayaPublished in: ICASSP (2020)
Keyphrases
- short term
- load forecasting
- machine learning
- long term
- power generation
- motion prediction
- short term prediction
- power system
- chaotic time series
- stock market
- arima model
- short term and long term
- artificial intelligence
- wind power
- learning algorithm
- short and long term
- forecasting model
- wind speed
- medium term
- long term memory
- power plant
- computational intelligence
- feature selection
- maximum power point tracking
- prediction model
- least squares