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At last, the paper elaborates the significance of the operation reliability model for operation scheduling by a practical example.
In general, (4)–(20) constitute the network reconfiguration model for operation mode adjustment, which is a mixed integer quadratic programming (MIQP) problem.
This paper develops a specific use of the Vandellòs-II plant model for operation and control support at low power involving new ranges of system actuation parameters.
As the figure suggests, the accounting model for a given resource is an aggregation of three elementary models: a model for traffic consumption, a model for operation consumption and a model for resource consumption.
This paper develops a specific use of the Ascó plant model for operation support and tries to clarify a group of scenarios related to the total loss of feed water (FW) and the corresponding Feed & Bleed (F&B) recovery procedure.
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In addition to adapting current privacy models for operation with big data, future research avenues include coming up with new privacy models designed from scratch with big data requirements in mind.
In this paper, output error generated by the uncertainty of the forecasting inflow was regarded as a variable to develop a short-term reservoir optimal operation model for reducing operation risk.
A pre-design parameter, system efficiency (SE) was modeled for operations with water recovery rate through cell pairs (WRRTC >0.5.
Systems automation and real time process optimization stand to benefit a great deal from availability of efficient and accurate theoretical models for operations data processing.
Accordingly, this study developed a staffing evaluation principle based on CPM-GOMS modeling for operations in the advanced main control room.
The resulting uncertainties in estimating ν significantly reduce the reliability of a priori process modeling for operations involving gas solid reactions, and the results of such modeling should be viewed with proportionate circumspection.
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