Self-organizing maps for scenario reduction in long-term hydropower scheduling.
Jinghao WangMojtaba YousefiXiaomei ChengJayaprakash RajasekharanReza ArghandehXueping PanHossein FarahmandPublished in: IECON (2022)
Keyphrases
- self organizing maps
- long term
- short term
- neural network
- scheduling problem
- competitive learning
- unsupervised learning
- multistage
- neural gas
- som neural network
- topology preserving
- production planning
- input data
- color images
- visualization methods
- k means
- data sets
- machine learning
- data processing
- computer vision
- growing neural gas
- network anomaly detection