Short-Term Firm-Level Energy-Consumption Forecasting for Energy-Intensive Manufacturing: A Comparison of Machine Learning and Deep Learning Models.
Andrea Maria Nogueira Cavalcanti RibeiroPedro Rafael X. do CarmoIago Richard Rodrigues SilvaDjamel SadokTheo LynnPatricia Takako EndoPublished in: Algorithms (2020)
Keyphrases
- short term
- energy consumption
- learning models
- machine learning
- long term
- energy efficiency
- energy saving
- energy efficient
- wireless sensor networks
- energy conservation
- learning tasks
- machine learning algorithms
- sensor networks
- learning problems
- learning algorithm
- load forecasting
- loss function
- forecasting model
- save energy
- medium term
- total energy
- electricity consumption
- sensor nodes
- semi supervised learning
- routing protocol
- decision trees
- stock market
- residual energy
- data center
- classification models
- wind speed
- support vector machine
- arima model
- short term prediction
- data mining
- power generation
- kernel methods
- supervised learning
- pairwise
- support vector
- training data
- feature selection