Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering.
Carlos A. SeverianoFrederico Gadelha GuimarãesMiri Weiss-CohenPublished in: SSCI (2016)
Keyphrases
- short term
- data clustering
- extreme learning machines
- multi agent systems
- long term
- forecasting model
- multi agent
- load forecasting
- k means
- unsupervised learning
- stock market
- electric load forecasting
- medium term
- clustering algorithm
- deterministic annealing
- cluster analysis
- long term memory
- short term and long term
- wind speed
- software agents
- machine learning
- learning process
- wind power
- arima model
- pairwise