Large discrepancy between future demand and supply of agricultural water in northwestern Iran; evidence from WEAP-MODFLOW-machine learning under the CMIP6 scenario.
Mostafa Rahimi JamnaniZahra KayhomayoonNaser Arya-AzarSami Ghordoyee-MilanSajad Najafi MarghmalekiRonny BerndtssonPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- machine learning
- water resources
- demand forecasting
- electricity markets
- water supply
- long term
- empirical evidence
- explanation based learning
- computational intelligence
- learning algorithm
- pattern recognition
- computer vision
- machine learning methods
- machine learning algorithms
- lead time
- knowledge acquisition
- text classification
- energy supply
- supervised learning
- neural network
- real world
- data mining
- feature selection
- decision trees
- data analysis
- information extraction
- learning tasks
- computer science
- reinforcement learning
- active learning
- water quality
- evidential reasoning
- semi supervised learning
- inventory models
- text mining
- data sets