Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System.
Shuli WenYu WangYi TangYan XuPengfei LiTianyang ZhaoPublished in: IEEE Trans. Ind. Informatics (2019)
Keyphrases
- recurrent neural networks
- power system
- real time
- power grid
- economic dispatch
- long short term memory
- reactive power
- power generation
- electrical power
- active power
- load forecasting
- electric power systems
- voltage stability
- electrical power systems
- neural network
- power flow
- power quality
- load flow
- feed forward
- transmission line
- optimal power flow
- smart grid
- voltage sags
- computational intelligence
- power distribution systems
- recurrent networks
- artificial neural networks
- electric vehicles
- ieee bus
- hidden layer
- control system
- unit commitment
- economic load dispatch
- power consumption
- artificial intelligence
- machine learning