Di Pretoro et al., 2022 - Google Patents
Demand response scheduling using derivative-based dynamic surrogate modelsDi Pretoro et al., 2022
View PDF- Document ID
- 2451586502082337136
- Author
- Di Pretoro A
- Bruns B
- Negny S
- Grünewald M
- Riese J
- Publication year
- Publication venue
- Computers & Chemical Engineering
External Links
Snippet
When assessing demand response to solve optimal scheduling problems, the optimization algorithm needs to be coupled with the process model in order to quantify the behavior of the monitored variable. For negligible transients, a first approximation consists of applying …
- 230000004044 response 0 title abstract description 32
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
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