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Multi-verse optimization algorithm- and salp swarm optimization algorithm-based optimization of multilevel inverters
(Springer, 2020)
Renewable energy sources are installed into both distribution and transmission grids more and more with the introduction of smart grid concept. Hence, efficient usage of cascaded H-bridge multilevel inverters (MLIs) for ...
Two-dimensional inverse quasilinear parabolic problem with periodic boundary condition
(Taylor & Francis Ltd, 2019)
In this study we consider a coefficient problem of a quasi-linear two-dimensional parabolic inverse problem with periodic boundary and integral over determination conditions. We prove the existence uniqueness and continuously ...
Dynamic network analysis of online interactive platform
(Springer, 2019)
The widespread use of online interactive platforms including social networking applications community support applications draw the attention of academics and businesses. The basic trust of this research is that the very ...
Machine learning model to predict an adult learner's decision to continue ESOL course
(Springer, 2019)
This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, ...
Grey Wolf optimizer for allocation and sizing of distributed renewable generation
(Institute of Electrical and Electronics Engineers Inc., 2019)
Increasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their ...
Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering
(Institute of Electrical and Electronics Engineers Inc., 2019)
This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis ...
A Competitive Intelligence Practices Typology in an Airline Company in Turkey
(Springer, 2020)
Oil prices, political instabilities, travel legislations, and many other competitive factors make it essential for any international airline with the instinct to survive to be on constant watch in such a fiercely competitive ...
Ontology-based data acquisition model development for agricultural open data platforms and implementation of OWL2MVC tool
(Elsevier, 2020)
In the open data world, it is difficult to collect data in compliance with a certain data model that is of interest to different types of stakeholders within a domain like agriculture. Ontologies that provide broad ...
Multi-Agent model of electricity networks - a perspective on distribution network charges
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the UK, DNOs are regulated by Ofgem to use two common distribution use of system charging methodologies: Common Distribution Charging Methodology and Extra-High Voltage Distribution Charging Methodology. To account for ...
A comparative study of surrogate based learning methods in solving power flow problem
(IEEE, 2020)
Due to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables ...