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Determine the best model to predict the consumption of electric energy in the southern region
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Abstract:          

                Interest in the topic of prediction has increased in recent years and appeared modern methods such as Artificial Neural Networks models, if these methods are able to learn and adapt self with any model, and does not require assumptions on the nature of the time series. On the other hand, the methods currently used to predict the classic method such as Box-Jenkins may be difficult to diagnose chain and modeling because they assume strict conditions.

               So there was a need to compare the traditional methods used to predict the time chained with neural networks method to find the most efficient method to predict, and this is the purpose of this study.

              Contributes to predict future demand for electricity in the electric power sector to solve problems through future planning to meet changes in the demand for electricity increases. Experience has shown there is no way of certain predict appropriate for all cases, but that in each case the way of a private predict is needed to find and use. However, taking more than one way may lead to raising the future accuracy of the estimates.

               The present study aims to shed light on some of the statistical methods used to predict future demand for electricity for the Southern District, as well as a reference to more accurate methods to predict the future of energy. It has been used a number of methods to predict , such as econometric modeling technique, style and Box- Jenkins method of artificial neural network. And service to the goal of the study, which is based upon the premise that search: the neural network models more accurate than traditional models in long-term. As it is the most efficient and more accurate than other conventional models in dealing with non-linear time-series data.

                We have been using the annual electrical energy consumption data for the Southern District to conduct a comparison of the program through the application of SPSS and Minitab for statistical analysis, and Matlab language has been used to build a program in neural networks, and through the practical application it was found that neural networks gives better results and more efficient than the classic way.

 

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Publication Date
Mon Feb 04 2019
Journal Name
Iraqi Journal Of Physics
Determination of the energy and kick velocity of Crab Nebula pulsar from the distribution morphology of the remnant
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Publication Date
Tue Sep 01 2015
Journal Name
Iraqi Journal Of Physics
Determination of the energy and kick velocity of Crab Nebula pulsar from the distribution morphology of the remnant
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The Plerion nebula is characterized by its pulsar that fills the center of the supernova remnant with radio and X-ray frequencies. In our galaxy there are nine naked plerionic systems known, of which the Crab Nebula is the best-known example. It has been studied this instance in order to investigate how the pulsar energy affect on the distribution and evolution of the remnant as well as study the pulsar kick velocity and its influence on the remnant. From the obtained results it's found that, the pulsar of the Crab Nebula injects about (2−3)𝑥 1047 erg of energy to the remnant, although this energy is small compared to the supernova explosion energy which is about 1051 erg but still plays a significant role in the distribution and the m

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Publication Date
Sat Jun 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
The Effectiveness of Management Information Systems (MIS) and its impact on Governmental Organization Performance in Jouf Region of Saudi Arabia
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The aim of this research is to find the impact of the efficiency of Management information systems (MIS) on the effectiveness of governmental organizations performance.

To achieve the objective of the research, the analytical descriptive method was adopted. A questionnaire was designed consisting of (35) paragraphs, and the sample consisted of (200) individual. The research attemped to answer the following question: To achieve the objective of the research, the analytical descriptive method was adopted. A questionnaire was designed consisting of (35) paragraphs, and the sample consisted of (200) individual. The research tried to answer the following question: What is the actual utilization of modern admi

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Publication Date
Mon Jul 01 2013
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Mitochondrial Activity of the Locally Established Rat Embryo Fibroblast Cell Line Through Different Passages
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Background: Mitochondria are the cell’s powerhouse, the site where the vast majority of ATP is synthesized. Mitochondrial activity represent a central checkpoint for detection of the difference between cancer cells and normal cells at the metabolic profile.
Objective: To find out if there is a correlation between in vitro transformation and mitochondrial activity, by measuring the activity during clonal evolution of the locally established rat embryo fibroblast (REF) cell line throughout studying different passages.
Materials & Methods: The (REF) cell line, was in vitro cultured. Mitochondria were isolated by differential centrifugation following Mitochondria Isolation Kit. Enzymatic activity of intact mitochondria has been m

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Publication Date
Sat Sep 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
A comparison Of Some Semiparametric Estimators For consumption function Regression
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    This article aims to explore the importance of estimating the a semiparametric regression function ,where we suggest a new estimator beside the other combined estimators and then we make a comparison among them by using simulation technique . Through the simulation results we find  that the suggest estimator is the best with the first and second models ,wherealse for the third model we find Burman and Chaudhuri (B&C) is best.

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Publication Date
Fri Dec 24 2021
Journal Name
Iraqi Journal Of Science
Best Regression for Eye Recognition
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     Human eye offers a number of opportunities for biometric recognition. The essential parts of the eye like cornea, iris, veins and retina can determine different characteristics. Systems using eyes’ features are widely deployed for identification in government requirement levels and laws; but also beginning to have more space in portable validation world.

The first image was prepared to be used and monitored using CLAHE which means (Contrast Limited Adaptive Histogram Equalization) to improve the contrast of the image, after that the 3D surfac

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Publication Date
Mon Jan 02 2017
Journal Name
Journal Of Educational And Psychological Researches
The effectiveness of the structural model of learning in the acquisition of geographical concepts among students of the first grade average)
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The current research aims to find out ( the effectiveness of the structural model of learning in the acquisition of geographical concepts at the first grade average students ) , and achieving the goals of research has been formulating the null hypothesis of the following :

    " There is no difference statistically significant when Mistoi (0.5 ) between the mean scores of the collection of students in the experimental group that is studying the general geographical principles " Bonmozj constructivist learning " and the mean scores of the control group , which is considering the same article ," the traditional way " to acquire concepts.

The researcher adopted th

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Publication Date
Sat Jan 01 2022
Journal Name
Maced J Med Sci.
Past Myocardial Infarctions and Gender Predict the LVEF Regardless of the Status of Coronary Collaterals: An AI-Informed Research. Open Access Maced …
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BACKGROUND: The degree of the development of coronary collaterals is long considered an alternate–that is, a collateral–source of blood supply to an area of the myocardium threatened with vascular ischemia or insufficiency. Hence, the coronary collaterals are beneficial but can also promote harmful (adverse) effects. For instance, the coronary steal effect during the myocardial hyperemia phase and that of restenosis following coronary angioplasty.

Publication Date
Wed Jan 01 2020
Journal Name
Plant Archives
Isolation and identification of yersinia enterocolitica from local ovine meat in the middle region of Iraq
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Yersinia enterocolitica has ranked a third among the pathogens that most frequently cause gastrointestinal disorders transmitted to humans through food materials, especially contaminated meats. The meat infected with Yersinia enterocolitica had no change in apparent texture or smell. The aim of this research is to survey the frequency of Y. enterocolitica in ovine meat, compare their ratio of infection between the season, To carry out this study (125) samples of local ovine meat were collected by random sampling from the middle region of Iraq. The samples were divided into two groups steak and mince, then many microbiological tests (culture, & staining, biochemical Tests Api 20E, Vitik 2 and species-specific PCR amplicon for 16S RNA gene) w

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Scopus
Publication Date
Wed Jul 01 2020
Journal Name
Journal Of Engineering
Using Adaptive Neuro Fuzzy Inference System to Predict Rate of Penetration from Dynamic Elastic Properties
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Rate of penetration plays a vital role in field development process because the drilling operation is expensive and include the cost of equipment and materials used during the penetration of rock and efforts of the crew in order to complete the well without major problems. It’s important to finish the well as soon as possible to reduce the expenditures. So, knowing the rate of penetration in the area that is going to be drilled will help in speculation of the cost and that will lead to optimize drilling outgoings. In this research, an intelligent model was built using artificial intelligence to achieve this goal.  The model was built using adaptive neuro fuzzy inference system to predict the rate of penetration in

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