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International Scientific and Vocational Studies Journal
Number of Followers: 1

This is an Open Access Journal

Open Access journal
ISSN (Online) 2618-5938
Published by DergiPark

[220 journals]

Short-Term Load Forecasting Model Using Flower Pollination Algorithm
- Authors: Volkan Ateş; Necaattin Barışçı
  Abstract: Electricity is natural but not astorable resource and has a vital role in modern life. Balancing betweenconsumption and production of the electricity is highly important for powerplants and production facilities. Researches show that electricity loadconsumption characteristic is highly related to exogenous factors such asweather condition, day type (weekdays, weekends and holidays etc.), seasonaleffects, economic and politic changes (crisis, elections etc.). In this study, we propose a short-term loadforecasting models using artificial intelligence based optimization technique.Proposed 5 different empirical models were optimized using flower pollinationalgorithm (FPA). Training and testing phase of the proposed models held withhistorical load and weather temperature dataset for the years between2011-2014. Forecasting accuracy of the models was measured with Mean AbsolutePercentage Error (MAPE) and monthly minimum approximately %1,79 for February 2013.Results showed that proposed load forecasting model is very competent forshort-term load forecasting.
  PubDate: Sun, 31 Dec 2017 00:00:00 +030
Interlock Optimization Of An Accelerator Using Genetic Algorithm
- Authors: İbrahim Burak Koç; Anas Al Janadi, Volkan Ateş
  Abstract: Accelerators are systems where high-tech experiments are conducted today and contain high-tech constructions. Construction and operation of accelerators require multidisciplinary studies. Each accelerator structure has its own characteristics as well as similar features of accelerator structures. Control systems come to the forefront as one of the most important structures that make up accelerators. Since control systems have critical importance for accelerators, in such systems when a problem occurs, there is a danger of environmental and human safety as well as machine system. For that reason interlock systems are being developed in different structures. In the literature, FPGAs and PLCs in such interlock systems have been shown to be suitable for use in accelerators [1,7].In this work, we describe an interlock system that evaluates the operation and protection modes of devices used in an electron accelerator. In order to ensure that this system can operate at minimum cost and maximum safety, the defined system is divided into 3 subsystems. The error messages from the control devices in the accelerator control systems are the input to the interlock system. The purpose of the interlock system that evaluates error messages is to ensure that the accelerator closes safely.The purpose of this study is to specify which of the 3 interlock subsystems which are defined for minimum cost and maximum security should be connected to the fault outputs from the control devices. As an evaluation criterion, 6 features are defined for the control devices and each control device is weighted according to the importance of the task. In the solution of the problem, genetic algorithms were used for assigning 74 controller outputs to 3 interlock subsystems. Thanks to the Genetic Algorithm used in the study, 94.3% success rate was obtained in terms of cost and safe system.
  PubDate: Sun, 31 Dec 2017 00:00:00 +030
Strategies That Transform the Retail
- Authors: José G. Vargas-Hernández; María Luisa Anaya Rosas
  Abstract: The objective of the presentinvestigation is to analyze the strategies that the companies implement and thechanges that originate in the retail trade and the retail trade and in thecommercial establishments in the developed countries. Based on a literaryreview, it identifies the framework of the current situation, encompassing allthe social products and services that cause the new mechanisms of sale ofproducts and services by the firms and the different ways of buying productsand services by Los Consumers Concluding that this variation is mainly presentdue to the technological level, the culture of the purchase and the strategiesof sale, that owns and develops the consumers and the companies.
  PubDate: Sun, 31 Dec 2017 00:00:00 +030
Impact Of Business Performance And TQM On The SMEs Of Mexico
- Authors: José G. Vargas-Hernández; Vanessa Yesenia, Vázquez Lerma
  Abstract: The purpose of this research is to analyze the degree ofeffectiveness of TQM in SMEs in Mexico as a function of Business Performance,considering that Business Performance is related to Total Quality Management.This research is analytical and descriptive, since no statistical method isused, only the variables and the research problem are analyzed in detail and ina detailed manner, and descriptive because tables and tables can be found tohelp facilitate understanding of these important concepts. This research willanalyze the impact of both variables, and with this, the entrepreneurs can makethe necessary changes in their production line or in their employees to obtainbetter and greater positive results.
  PubDate: Sun, 31 Dec 2017 00:00:00 +030
The Sunshine Duration Error Rates were calculated with Gradient-Descent
Algorithm and Genetic Algorithm for Use of Solar Energy
- Authors: Yalçın Kaplan
  Abstract: In this study, which is a source of renewable energy required to take advantage of solar energy to the maximum duration of sunshine was estimated. In the study, values were used of the city of Amasya. Artificial neural networks (ANN) backpropagation gradient-descent(GD) learn algorithm and genetic algorithm(GA) were used. Three hidden layer network model was designed with two inputs for ANN and GA. Between 2000 and 2010 values were used as input data monthly sunshine duration and humidity values. Output data was obtained monthly sunshine duration of 2010. The values obtained were compared with the actual values and the root mean square error (RMSE) was calculated. Result of the study, GA was used to calculate the values that are needed for solar energy.
  PubDate: Sun, 31 Dec 2017 00:00:00 +030