Study of Features and Number of Time Steps to Improve Hourly Solar Power Forecasting via LSTM.
Li ChoChau-Yun HsuChun-Wei LiWei-Chieh ChenHong-Ren WangChang-Ping LinPublished in: GCCE (2019)
Keyphrases
- short term
- feature extraction
- feature space
- small number
- data sets
- computer vision
- long term
- solar energy
- load forecasting
- recurrent neural networks
- memory requirements
- statistical analysis
- empirical studies
- feature set
- image features
- feature vectors
- artificial neural networks
- high level
- social networks
- machine learning
- neural network