Hyperparameter optimization strategies for machine learning-based stochastic energy efficient scheduling in cyber-physical production systems
One of the major challenges faced by system operators in an integrated energy system (IES) is to come up with an optimal schedule of the energy generation units in the presence of uncertainties at both the demand and supply sides. Employing efficient forecasts of the uncertain parameters while ensur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | Digital Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508122000370 |