Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Predictive analytics play an important role in the management of decentralised energy systems. Prediction models of uncontrolled variables (e.g., renewable energy sources generation, building energy consumption) are required to optimally manage electrical and thermal grids, making informed decisions...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |