Results 11 to 20 of about 2,791,874 (252)
For the problem of additional copper loss, iron loss, and efficiency degradation caused by current harmonics in surface-mounted permanent magnet synchronous motor (SPMSM), this study proposes a novel optimization strategy based on harmonic current and ...
Hanjie Jia +5 more
doaj +2 more sources
Large-scale security constrained optimal reactive power flow for operational loss management on the GB electricity transmission network [PDF]
This thesis was submitted for the degree of Engineering Doctorate and awarded by Brunel University, 22/12/2010.The transmission of power across the GB transmission system, as operated by National Grid, results in inevitable loss of electrical power ...
Macfie, Peter
core +7 more sources
The distribution system reconfiguration (DSR) is a complex large-scale optimization problem, which is usually formulated with one or more objective functions and should satisfy multiple sets of linear and non-linear constraints.
Meisam Mahdavi +4 more
doaj +1 more source
Introduction. Due to the spread of COVID-19 in the world, mathematical modeling of epidemiological processes is an important and relevant scientific problem.
P. Knopov, O. Bogdanov
doaj +1 more source
Bidirectional branch and bound for controlled variable selection. Part III: local average loss minimization [PDF]
The selection of controlled variables (CVs) from available measurements through exhaustive search is computationally forbidding for large-scale processes. We have recently proposed novel bidirectional branch and bound (B-3) approaches for CV selection
Kariwala, Vinay, Cao, Yi
core +1 more source
This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered.
Zahir Sahli +3 more
doaj +1 more source
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning [PDF]
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Noah A. Smith +3 more
core +1 more source
Approximate BDD Minimization by Weighted A* [PDF]
Reduced ordered Binary Decision Diagrams (BDDs) are a data structure for efficient representation and manipulation of Boolean functions. They are frequently used in logic synthesis. The size of BDDs depends on a chosen variable ordering, i.e.
Rudiger Ebendt +3 more
core +2 more sources
Opportunity Loss Minimization and Newsvendor Behavior
To study the decision bias in newsvendor behavior, this paper introduces an opportunity loss minimization criterion into the newsvendor model with backordering.
Xinsheng Xu, Hong Yan, Chi Kin Chan
doaj +1 more source
In the field of marine renewable energies, the extraction of marine currents by the use of tidal current turbines has led to many studies. In contrast to offshore wind turbines, the mass minimization is not necessarily the most important criterion.
Serigne Ousmane Samb +3 more
doaj +1 more source

