To cover this gap, the paper is mainly focused on designing an energy system in a neighborhood including its pipeline network under demand uncertainty concerning data insufficiency.
Consequently, product model data insufficiency and incompatibility between varieties of application systems are still the major barriers to system integration, especially the integration of design and process planning.
To overcome the problem with data insufficiency, the use of the regional frequency analysis applied to annual maximum wind speed is investigated in this study by using wind records from 235 Canadian meteorological stations.
However, it is difficult to use the existing methods to resolve reliability apportionment problem because of the data insufficiency and the uncertainty of the relations among the components in the mechanical system.
This paper mainly focused on designing a building's energy system under demand, costs (like carbon emission cost, primary energy saving…) and prices (like fuel tariff and electricity prices…) uncertainties concerning data insufficiency by means of robust optimization.
However, it is difficult to use the existing methods to resolve reliability apportionment issues because of the data insufficiency and the uncertainty of the relations among the components in the mechanical system.
There have been many approaches to quantify cutoffs, yet each of these approaches yields a different reservoir model with some amount of uncertainties due to lack of enough data, insufficiency of knowledge and the heterogeneous nature of petroleum reservoirs.
Net pay detection is a key stage in reservoir characterization for several purposes: reserve estimation, reservoir modeling and simulation, production planning, etc. Determining productive zones always is simultaneous with some amount of uncertainty due to lack of enough data, insufficiency of knowledge, and the wild nature of petroleum reservoirs.
Otherwise, the effectiveness of the clustering task might be influenced by data insufficiency.
