Water and energy demand forecasting in large-scale water distribution networks for irrigation using open data and machine learning algorithms.
Rafael González PereaRocio BallesterosJosé F. OrtegaMiguel Angel MorenoPublished in: Comput. Electron. Agric. (2021)
Keyphrases
- machine learning algorithms
- demand forecasting
- open data
- water resources
- water distribution networks
- historical data
- learning algorithm
- benchmark data sets
- open government data
- supply chain
- machine learning methods
- machine learning
- linked data
- decision trees
- world wide
- random forests
- water quality
- scientific data
- real world
- management system
- design choices
- forecasting accuracy
- machine learning models
- hybrid model
- data mining
- databases
- database
- economic development
- information services
- support vector machine svm
- semantic web