A Hybrid Deep Learning-Based Power System State Forecasting.
Shahrzad HadayeghparastAmir Namavar JahromiHadis KarimipourPublished in: SMC (2020)
Keyphrases
- power system
- deep learning
- load forecasting
- short term load forecasting
- optimal power flow
- transmission line
- computational intelligence
- unsupervised learning
- neural network
- weakly supervised
- economic dispatch
- reactive power
- power generation
- short term
- pattern recognition
- mental models
- wind power
- supervised learning
- state space
- operating point
- machine learning