Forecasting Electricity Demand using Clustering.
Richard MitchellPublished in: Applied Informatics (2003)
Keyphrases
- demand forecasting
- electricity markets
- short term
- electricity consumption
- clustering method
- load forecasting
- clustering algorithm
- k means
- electric power
- unsupervised learning
- hierarchical clustering
- forecasting accuracy
- data clustering
- historical data
- cluster analysis
- long term
- wind power
- data points
- market clearing
- categorical data
- renewable energy
- forecast models
- medium term
- market participants
- unit commitment
- artificial neural networks
- supply chain
- anomaly detection
- self organizing maps
- hybrid model
- data sets
- bp neural network