Intelligent hydropower : Making hydropower more efficient by utilizing machine learning for inflow forecasting
Inflow forecasting is important when planning the use of water in a hydropower plant. The process of making forecasts is characterized by using knowledge from previous events and occurrences to make predictions about the future. Traditionally, inflow is predicted using hydrological models. The model...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för industriell teknik och management (ITM)
2020
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279609 |