Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models.
Felix Morales-MarecoCarlos Sauer AyalaDiego H. StalderLuis SalgueiroSebastián A. GrilloPublished in: CLEI (2023)
Keyphrases
- short term
- learning models
- demand forecasting
- long term
- statistical machine learning
- load forecasting
- machine learning algorithms
- forecasting accuracy
- forecasting model
- historical data
- machine learning
- learning algorithm
- semi supervised learning
- loss function
- power generation
- classification models
- supply chain
- learning tasks
- statistical learning
- learning problems
- conditional random fields
- learning experience
- pairwise
- pattern recognition