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Bahn, V. & McGill, B. J. Testing the predictive performance of distribution models.
The proposed model takes into account the effect of certain external factors on the performance of distribution system.
The performance of distribution warehouses plays an important role in the global performance of any Supply Chain.
Planning of protection systems plays a significant role to achieve an efficient behavior (or performance) of distribution systems.
This article examines how alternative regulatory designs influence such investments, and simulates the procurement and performance of distribution transformers under differing regulatory scenarios, to demonstrate the enormous potential benefits of a performance-based regulation scheme that targets network losses.
The analyses carried out show that the algorithm can be applied to enhance the performance of distribution system in terms of node voltage profile improvement and power loss reduction.
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Flow distribution performance of the distribution manifold is the most important index to evaluate its design rationality.
Comparing the performance of BPL distribution and the traditionally used lognormal distribution, we found that BPL provides stronger fit in ∼80% of the sites.
Analysis of input sensitivity by encoding functions (3D autocorrelation, radial distribution functions, and surface autocorrelation) reveals the superior performance of radial distribution functions across the six ANN models tested.
The results show that the symmetry of the distributing channels has decisive influence on the performance of flow distribution.
Innovative power electronic devices such as distribution-interline power flow controller (D-IPFC) can be utilized to improve the operating performance of power distribution systems.
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