A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems.
Ricardo BuettnerJohannes BreitenbachJan GrossIsabell KruegerHari GouromichosMarvin ListlLouis LeichtThorsten KlierPublished in: COMPSAC (2022)
Keyphrases
- machine learning approaches
- literature review
- grid systems
- grid computing
- resource sharing
- case study
- machine learning
- machine learning methods
- resource management
- grid environment
- distributed query processing
- machine learning algorithms
- service oriented computing
- power system
- computing environments
- heterogeneous systems
- data mining methods
- computational grids
- distributed computing
- anomaly detection
- data structure
- learning algorithm