Quasi-optimal control of a solar thermal system via neural networks
The optimal control of complex thermal energy systems is a challenge due to their dynamic behavior and constantly changing boundary conditions. To maximize the energy efficiency of such a dynamic system, optimal trajectories for the controlled variables are needed. Extensive system knowledge is requ...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546823000046 |