Tikrit Journal of Administrative and Economic Sciences

The research aims to test the impact of financial experience on accounting conservatism in banks registered in the Iraq Stock Exchange. The research included a sample of 10 banks for the period (2013-2022) as a basis for collecting the necessary data to measure the research variables represented by financial experience as an independent variable, which was measured through (financial experience of audit committees, academic financial experience of the board of directors, and professional experience of the board of directors), and accounting conservatism as a dependent variable, which was measured through two measures of conditional conservatism and unconditional conservatism, and using statistical methods, the arithmetic mean, Pearson correlation coefficient, and simple regression equation, and using the statistical program (SPSS). The research reached a set of results, the most important of which is the absence of a significant effect of financial experience on accounting conservatism for financial experience with its three measures in conditional and unconditional accounting conservatism. The research recommends that banks focus on enhancing the financial experience of members of the board of directors and the audit committee through continuous training and updating skills related to conservative accounting practices. This will contribute to improving the quality of financial reports and increasing investor confidence.

The research aims to demonstrate the impact of disclosure of social responsibility in improving the quality of the informational content of financial reports. The research addresses: a content analysis method for annual financial reports for a sample of banks listed on the Iraqi Stock Exchange, which contains (10) banks for the period extending from (2013-2022). Disclosure of social responsibility was measured by applying the percentage equation for each item and measuring the quality of the informational content of financial reports through accounting conservatism as a proxy for the quality of financial reports. This variable is measured by adopting the (MTB) model, and some statistical methods were used such as the arithmetic mean, standard deviation, the highest and lowest value. By using the statistical program (SPSS Ver.22). The research has reached several results, including: There is a positive (direct) significant correlation between disclosure of social responsibility with the quality of the informational content of financial reports. This indicates that high levels of disclosure of social responsibility are accompanied by an increase in the level of quality of the informational content of financial reports, as observed at the level of dimensions. The four dimensions of social responsibility disclosure are that only two of its dimensions (disclosure of human resources development, disclosure of community service). They recorded a significant correlation and the quality of the informational content of financial reports. However, an increase in the level of disclosure of these two dimensions will be accompanied by an increase in the quality of the informational content of financial reports. There is a positive moral effect of disclosure of social responsibility on the quality of the informational content of financial reports, meaning that a high level of disclosure of social responsibility affects positively by increasing the level of informational content quality of financial reports in the banks in the research sample.

In recent years, the Marine Predator Algorithm (MPA) has emerged as a powerful tool in the field of metaheuristic optimization, an algorithm inspired by the behavior of marine predators in the natural environment. This algorithm is based on three main strategies to simulate what happens between predators and prey, which gives a strong balance between the exploration process and the exploitation process. This paper attempts to review the most important improvements, modifications and applications of the MPA algorithm in several fields. Compared to algorithms such as PSO, SMA and other algorithms, MPA has proven its effectiveness and strength, especially in improving the speed and accuracy in reaching optimal solutions. Despite its successes, MPA faces some challenges in certain problems, such as the need for additional modifications to improve its performance in more complex environments. In this context, we discuss future directions for developing this algorithm and expanding its use in new fields.

This research aims to test the impact of adopting Employee Benefits Standard)19(on administrative estimates, and also aims to shed light on the financial impacts related to the agreement on the differences including the various elements, laws and requirements that are desired to achieve the desired results. Therefore, the study has diversity: the independent variable (Employee Benefits Standard IAS 19), and the variable (administrative discretion). To achieve the research objectives, the descriptive models were relied upon for the application, as the researchers discovered in the accounting literature related to the research changes, and in the applied aspect, it relies on the data studied by collecting data for a sample of companies listed on the Iraq Stock Exchange, as the study community consists of academics for the importance of this and their knowledge of understanding the diversity of research, which contributes directly to driving the wheel of economic development in the local Iraqi economy. A questionnaire was distributed on the method of communication via the Internet via the application (Google from), where the accounting departments in Iraqi universities were contacted and the number of valid forms for analysis reached (116) forms. To achieve the research objectives, effective statistical tools were used, such as the Alpha Cronbach test to measure the validity and reliability of the questionnaire and the correlation coefficient test, The research reached a set of results, including: the existence of a significant correlation between the International Accounting Standard Deviation (19) and executive discretion.

Objectiv: The present study aims to analyze the relationship and impact of spiritual leadership, represented by its dimensions (spiritual vision, positive influence, humility, and forgiveness), in mitigating organizational envy, represented by its dimensions (harmful envy, and benign envy).
Study Methodology: The present study aims to analyze the relationship and impact of spiritual leadership, represented by its dimensions (spiritual vision, positive influence, humility, and forgiveness), in mitigating organizational envy, represented by its dimensions (harmful envy, and benign envy).
Conclusions and Suggestions: The study concluded with several key findings, the most significant being the existence of significant negative inverse relationships between spiritual leadership and organizational envy at both the overall and individual levels. The regression analysis results also indicated an impact of all dimensions of spiritual leadership on organizational envy. The study recommended that college leadership should conduct regular evaluations of negative phenomena in the workplace, such as anxiety, stress, conflict, work pressure, and organizational envy. Additionally, employees should be made aware of the impact of these phenomena on their performance and the overall performance of the college. Promoting a spirit of cooperation and forgiveness among the staff at the studied college is essential, as this will enhance professional and social relationships, foster an environment of friendship and goodwill, and contribute to fostering positive envy.

The current research aims to identify the role of crowdsourcing in enhancing marketing innovation in furniture companies operating in the city of Mosul. The research adopted a descriptive and analytical methodology, where the research population consisted of individuals working in the investigated field, represented by 49 furniture companies in Mosul. A questionnaire was employed as the primary tool for data and information collection, which was distributed to a random sample of employees working in these companies, resulting in 109 valid forms. The statistical program (SPSS V.25) was used to analyze the data collected through the aforementioned questionnaire. The research concluded with several findings, most notably the existence of significant relationships and impacts between crowdsourcing and marketing innovation. A set of recommendations deemed necessary by the researchers for the surveyed companies was also presented.

The study aims to identify the effect of organizational ambidexterity precedence in Marketing intellectual outputs through knowledge practice communities. In order to verify this goal، Tikrit University was chosen as a field of research and a source of information through the answers provided by faculty members. The study community consisted of (3064) individuals، while the sample taken for analysis was (389). The questionnaire was relied upon as a main tool for the study، and the descriptive analytical approach was relied upon to achieve the study objectives and reach a solution to its problem.
The data and hypotheses adopted in the study were analyzed by using appropriate statistical methods through the use of statistical analysis programs SPSS Version 23 and PLS4، SMART، and the study reached several results، the most important of which are: here is a significant effect of organizational ambidexterity precedence in marketing intellectual products, and knowledge practice communities mediate the positive relationship between them. The research presented a set of recommendations for the researched organization to benefit from the nature of the relationship between the three research variables.

The study sought to determine the impact of the quality of maintenance operations in reducing electrical energy losses in the Nineveh Center Electricity Distribution Branch of the General Company for the Distribution of Electricity in the North; as the study relied in determining its variables on the quality of maintenance operations as an independent variable and electrical energy losses as a dependent variable; as the exploratory visits conducted by the researchers, which coincided with a number of interviews with the heads of departments, divisions and workers in the Nineveh Center Electricity Branch, indicated an increase in the levels of electrical energy losses in its technical and non-technical aspects, i.e. administrative, and one of the main indicators that established this conviction is the large difference between the energy received and the energy sold, specifically the billed energy that consumers pay for. The conceptual framework was crystallized by reviewing previous research efforts related to the study variables. A hypothetical diagram was developed that reflects the nature of the correlation and influence relationships, and four main hypotheses were formulated to be tested in the Nineveh Center Electricity Distribution Branch, using the ready-made program (Spss Ver-26) (Amos Ver-24), with the aim of diagnosing the relationship between the study variables. The researchers adopted the descriptive analytical approach in presenting the theoretical foundations, and the quantitative application to support the results of the study that were reached by the researcher adopting a set of tools in collecting data and information represented by the questionnaire form, in addition to personal interviews and field visits. A sample consisting of (287) respondents was identified, and quantitative data on maintenance operations and electrical energy losses that we obtained from the branch records were adopted, including a number of indicators to evaluate the performance of maintenance operations and data on the energy received and sold to reach the percentage of electrical energy losses. The study reached a set of results, the most prominent of which is that increasing attention to the quality of maintenance operations will contribute to reducing electrical energy losses in the field under study; as it was verified that there is a significant correlation and influence between the quality of maintenance operations and electrical energy losses in the branch under study.

This study aimed to analyze the impact of marketing elements (product, price, promotion, and distribution) on sales volume in a public pharmaceutical company in Samarra. The latest descriptive elements were used for analysis to begin with. Data was collected using a questionnaire specifically designed for this purpose. (352) questionnaires were distributed to the precise composition of employees at the public pharmaceutical company. The study field was determined as the Samarra Integrated Laboratory, and the questionnaire forms were completed in full.
The study reached several important results, most notably: the existence of a significant correlation between various marketing types and increased sales. In addition, there was a statistically significant positive effect of each of the marketing elements (product, price, promotion, and distribution) on sales volume.

Reliance on scientific and mathematical methods and modern programs has become one of the priorities adopted by developed countries in production planning. Through multiple visits to Ashur Electrical Industries Company, the researcher found that the research problem is the company's reliance on the experience of officials in the field of production planning and their reliance on simple mathematical and statistical methods that are almost primitive. Despite the importance of this experience in this field, it is not sufficient to find optimal solutions in light of the presence of many variables and restrictions to the research problem. Therefore, the aim of this research is to use an efficient mathematical method (linear programming) in production planning for Ashur Electrical Industries Company, where a monthly production plan was issued through optimal planning for the quantity produced, required and stored and optimal exploitation of the available capacities of the machines in the company by building a mathematical model for linear programming aimed at maximizing the company's profits. This mathematical model was solved using the ready-made program (WinQSB2). The results obtained from solving the mathematical model indicated that the company obtained the greatest profit, amounting to (12,481,670) million dinars, in addition to the optimal utilization of the available capacities of the machines.

The study aimed to identify the role of core capabilities of human resources, represented by its dimensions (knowledge, skills, and commitment), in addressing organizational cynicism through its dimensions (cognitive, emotional, and behavioral cynicism) in the North Oil Refinery Company/Baiji. The study adopted a descriptive-analytical approach to collect, describe, and analyze the data gathered through a questionnaire, which served as the main data collection tool. in the North Oil Refinery Company/Baiji was selected as the study's population, consisting of 8,408 individuals. A random sample of 374 individuals was selected, and questionnaires were distributed to them.
The current study relied on several statistical methods to reach its conclusions, using statistical programs such as SPSSV23 and Microsoft Excel 2010. The study reached several conclusions, most notably the existence of a statistically significant relationship between the core capabilities of human resources and their role in addressing organizational cynicism.

The main objective of the research was to identify the effect of organizational isolation on the intention to leave work. The descriptive analytical approach was adopted in the research, as the questionnaire form was used as the main tool for collecting data to reach the desired results in the practical aspect of the research. The forms were distributed electronically and randomly to a sample of employees in a number of governmental organizations in Dohuk city. The number of responded forms was (124) valid forms for analysis. A number of statistical methods were also used to deal with the data and to analyze the questionnaire phrases and test the research hypotheses. The data were processed through the statistical program (SPSS.V26). The research came out with a set of results, the most important of which was the presence of convergence in the respondents' answers, as the percentages were almost equal between agreement and disagreement on the variable of intention to leave work, meaning that employees in government departments have the desire to work for a department that grants better privileges, and the presence of a significant influence relationship between organizational isolation (together) and intention to leave work (together). The research suggested that government departments' administrations should pay attention to social and cultural programs that enhance communication between employees due to its importance.

The research aims to study impact of fulfillment of the psychological contract by employees and employers (as the independent variable) on the job satisfaction of each of them (as the dependent variable) and whether there are statistically significant differences in the level of fulfillment of the psychological contract between employees and employers as well as the level of job satisfaction for both parties in a number of private banks in the city of Mosul in Iraq. The private banking sector was chosen because it is the most organized of the rest of the sectors in obtaining data easily. The research sample included managers of (16) bank branches and (52) employees working in them. The data were collected through a questionnaire distributed to the research sample and the answers were statistically analyzed according to the SPSS statistical program. To test the research hypotheses, the results showed a positive and significant effect of fulfilling the psychological contract on job satisfaction, and found statistically significant differences in fulfilling the psychological contract in favor of employees, who are more loyal than employers, as well as the statistically significant differences in job satisfaction, but in favor of employers, as their level of job satisfaction is greater than that of employees. The research presented a number of recommendations: A: Employers or their representatives should clarify mutual obligations with employees at all stages of employment, starting with the selection and appointment process and throughout their work period, and fulfill their pledges and promises towards the employees working with them.

The current research sought to measure how the design strategy, which is one of the strategies for extending the life of the product, extends the life of machines, equipment, and production facilities to the longest possible period. A group of industrial factories in Nineveh Governorate was chosen: the iron and steel factory, the sugar and yeast factory, and the furniture factory. Mosul" to determine how those concerned in these factories maintain the machines and equipment for the longest possible period, mainly with the aim of achieving the maximum degree of exploitation, and the secondary objectives that accompany this goal. Such as: reducing costs, improving quality, reducing risks, and reducing investments in machinery and equipment. Data and information related to these variables were collected using a questionnaire as the main tool, and after obtaining data from the surveyed factories, this data was analyzed statistically for the purpose of arriving at the results for this study, and then analyzing and interpreting these results to reach the most important conclusions expected from this study, and then the research proposed a group One of the proposals serves as a road map for the fields investigated in order to extend the useful life of production machines and equipment.

This research aims to investigate the extent to which the ISO 27001:2022 standard is available and its role in enhancing the hooked strategy in internet service companies in some Iraqi cities. After reviewing the literature, the concepts were written, and the model was constructed, followed by the formulation of hypotheses based on the dimensions of the ISO 27001:2022 standard and the hooked strategy. Given the nature of the research and the objectives it aims to achieve, a descriptive analytical approach was employed. A questionnaire form was designed to collect data from a comprehensive sample of the research community, represented by approximately 80 managers across various companies operating in the internet service sector in selected Iraqi cities, according to the companies' data during the research period. The scales were developed, and 80 questionnaire forms were distributed to the research sample using Google Forms and printed copies to represent the research community. A total of 55 forms were returned, with 2 forms excluded, leaving 53 valid forms for analysis in the internet service companies in some Iraqi cities. Various methods were used, including expert assessments and Cronbach's Alpha, to ensure validity and reliability, as well as factor analysis, simple correlation, and structural equation modeling using AMOS (26) and SPSS (26). The results indicated a positive correlation and impact between the variables. Based on the research findings, the conclusions drawn indicated that the implementation of ISO 27001:2022 positively influences the hooked strategy, as increasing compliance with the standards leads to higher levels of commitment to the hooked strategy by both employees and customers. The main recommendations highlighted the need for managers to focus on implementing the ISO 27001:2022 standard to enhance the hooked strategy and its dimensions. Additionally, suggestions were made for companies to develop and implement specialized training programs for employees on the concept of ISO 27001:2022 and the importance of information security, including practical training sessions and motivational certificates to enhance skills and knowledge.

The study examines the impact of climate change on barley production in Iraq during the period from 1990 to 2022. The results show significant fluctuations in cultivated areas due to multiple climatic and economic factors, such as rainfall fluctuations and high temperatures. Climatic factors directly affect barley productivity, as lack of rainfall leads to decreased production, while high humidity contributes to increased production. Wind speed and CO2 emissions also negatively affect the crop. A long-term relationship between these factors and barley production was identified using the counteraction test. The study recommends improving water resource management, enhancing agricultural research to develop drought-resistant varieties, supporting farmers, and adopting climate-resistant agricultural technologies. The importance of climate predictions is highlighted in making more effective agricultural decisions and implementing flexible policies to support the agricultural sector in the face of future climate changes.

The study aims to attempt to review and provide a comprehensive vision of the theoretical and empirical frameworks that support the interpretation and analysis of the mechanisms and channels through which financial market development indicators in Arab countries can exert their influence on foreign trade, leading to anticipating an experimental quantitative model to diagnose the type, value and direction of the effects that development indicators can exert. Financial markets, represented by the traded stock market value index To the GDP (VG), the index of the number of listed companies (LC), the stock turnover index (TR), and the market price fluctuations index (PF) in the foreign trade variable (XM), in a sample of Arab countries that included 19 countries: (Jordan, UAE, Bahrain). , Tunisia, Algeria, Saudi Arabia, Sudan, Syria, Iraq, Oman, Palestine, Qatar, Kuwait, Lebanon, Libya, Egypt, Morocco, Mauritania, Yemen). To achieve the above, the study adopted the methodology of what is known as the pooled regression model (PRM), the fixed effect model (FEM), and the Random effect (REM) based on balanced panel data and a time series for the period (2004 - 2023) and a cross-section that included 19 Arab countries, amounting to a total of (380) observations for each of the study variables.
The study reached results in which indicators of the market value of traded shares and stock turnover had a positive impact on foreign trade, while indicators of the number of listed companies and fluctuations in market prices failed to exert this effect.

The research aims to identify the extent of the impact of financial readiness as an independent variable with its indicators (owned capital, liquidity, return on investment) on stock returns as a dependent variable with the indicator (return on share), and in order to achieve the research objectives and verify its hypotheses, it was applied to a sample of industrial sector companies listed on the Iraq Stock Exchange, which numbered (16) companies for the period (2015-2022) with a number of views of 128 views, by using their published financial data, and analyzing them using the financial and statistical analysis method, which was obtained by using the (2016 Microsoft Excel) program for financial analysis and the (Eviews.v12-Panel Data) program to test the hypotheses. After analyzing the research data and testing the hypotheses, a set of results were reached, the most prominent of which are: (The research sample companies have sufficient financial readiness to change stock returns) and there is also a statistically significant moral impact of financial readiness with its indicators on changing stock returns for industrial companies listed on the Iraq Stock Exchange, and based on the conclusions reached by the research He presented a set of recommendations, the most prominent of which was the need to improve the financial planning process for companies and adjust the companies' budget frequently to include expectations of revenues, expenses and financial needs in the short, medium and long term in order to be prepared for any circumstances.

The research aims to review the transformation experiences and the most important pillars of the infrastructure on which it was founded. Given the importance of this transformation and its main role in forming the digital footprint of the target countries, at the lowest costs and in the fastest time frame, in the competitive role expected to be occupied by this transformation, it is likely that financial digitization will be accompanied by many obstacles that together constitute the problem. a short period of time, It does not exceed the ten-year barrier for all Arab countries, the privacy that limits the spread of digitization, and the need for such fundamental changes for faster implementation stages and follow-up, as well as continuous evaluation of them, not to mention that digital knowledge in this field is constantly changing.
(14) experiments will be presented that represented a research community for the community of Arab countries, and through extrapolating these experiments, their timing, and their future horizon. On the other hand, the econometrics aspect comes to support the trends and experiences of the research community, and its results indicated that there are high levels of compatibility between the theoretical (academic) aspects related to the experiments and the standard aspect. Applied data related to Arab countries.
The researcher reached a set of conclusions and proposals, perhaps the most important of which was: not to ignore the risk and return aspect in such a transformation, as the global digital environment is still suffering from many cyber-attacks, which in recent years have been considered one of the sources of extremist danger, and one of the most important proposals is the success of the role of the supplier. The human workforce who possesses digital skills and has the ability to effectively use, develop and continually update those skills This enable to be ready to detect indicators of cyber threats and infiltration attempts as quickly as possible.

This research aims to improve the time needed to respond to the new patients in Ramadi Teaching Hospital by implementing and testing some operation scheduling rules based on the scheduling parameters and response time metrics. In fact, the research problem is focused on how some of these scheduling rules can be implemented to enhance quicker customer response. The research problem is how to apply some operational scheduling rules to achieve the speed of response to customers. The choice fell on the Urology Department because it performs the most surgeries and because it has one operating room. The case study approach was adopted to evaluate the hospital's reality and apply the scheduling rules using operational scheduling standards and response speed measures. The research sample was represented by the surgeries performed in January, which amounted to (217) surgeries. The importance of the research is embodied in highlighting the role of operational scheduling rules in improving the response speed by reducing the completion time and waiting time in performing surgeries.
The study concluded with several findings, most notably the superiority of the Shortest Processing Time (SPT) rule in two critical metrics for healthcare organizations: the total count of operations made in the theater and the average time necessary for completion of those operations. The last conclusions can be summarized as follows: The primary working recommendation is the rejection of heuristic methods of the formation of the surgical schedule and the use of the Shortest Processing Time rule.

The research aims to know the role of information and communication technology capabilities in enhancing organizational prowess among the employees of Al-hamdaniya University through infrastructure capabilities, individual capabilities in organizations, and dynamic capabilities that help organizations avoid the risks of the surrounding environment. To achieve the research objective, the descriptive analytical approach was relied upon using a questionnaire tool to collect data and to identify the opinions of Al-hamdaniya University employees regarding the capabilities of information and communications technology and its role in enhancing organizational excellence. The research included a sample of 80 employees of Al-hamdaniya University, which were analyzed using the statistical analysis program SPSS V26. The results were summarized by the lack of provision of some important and modern software, and the use of available programs by employees is done through personal effort and without training courses to help them and develop their capabilities due to the lack of infrastructure for information and communications technology, in addition to the weakness in training in how to employ it. The research reached several proposals, the most important of which is the necessity of training employees to use information and communications technology by equipping them with the required programs and the necessity of establishing training courses for employees of Al-Hamdaniya University to employ communications and information and use them to enhance organizational proficiency.

Examining the effect of board composition on dividend payment policies was the aim of this study. A sample of non-financial companies listed between 2016 and 2020 on the Borsa Istanbul Stock Exchange (BIST) was used in the study. To reflect board composition in the study, the following metrics were used: board size (BSIZE), board independence (BIND), board expertise (BEXP), and board age diversity (BAGE). In addition, a number of control variables were incorporated, such as profitability (PROFTA), firm age (FAGE), and firm size (FSIZE). The dividend per share, which indicated the company's dividend distribution policy, served as the study's dependent variable. The findings highlight the significance of board composition in explaining dividend policy variations among Turkey firms. More specifically, the frequency of board size, firm age, and board age diversity are all positively and significantly correlated with the propensity to pay dividends, while the degree of board expertise and profitability are negatively correlated with dividend policy. The research's conclusions are consistent with the agency theory, and resource dependence theory of dividend policy.

This study aims to analyze the impact of liquidity ratio, earnings ratio, and market-to-book ratio on shareholders’ equity-producing companies for the period (2018-2022) listed on the Iraqi Stock Exchange. The financial ratios analyzed in this study include the current ratio, quick ratio, net profit margin, book-to-market ratio, and shareholders’ equity. Reliance was placed on the audited financial statements of 11 companies that were properly listed on the stock exchange for five years, using a targeted sampling technique to obtain the data. Quantitative and descriptive research methods were used in this study, which includes the description of current ratio (CR), quick ratio (QR), net profit margin (NPM), and market-to-book ratio (MBR) as independent variables. Shareholders' equity (SE) is treated as the dependent variable. In this study, financial lists, such as data collection techniques, panel data regression, and statistical methods were used to evaluate and test hypotheses with the help of EViews 12 software. The results indicate that the current ratio (CR) and market-to-book ratio (MBR) have a significant negative effect on shareholders’ equity (SE). This is where the quick ratio (QR) has an important, significant positive effect on shareholders’ equity (SE). However, net profit margin (NPM) has no significant effect on shareholders’ equity (SE) in manufacturing firms in Iraq.

With the great economic and social development witnessed by the Kurdistan Region of Iraq, the demand for electrical energy has increased significantly, causing an imbalance as the current generation and distribution infrastructure struggles to keep pace. The researchers aim to study and address this issue by forecast peak demand to support future planning in the sector to ensure efficient electricity supply during peak times and avoid overloading the network, using artificial neural networks methods that are characterized by their ability to learn and adapt to complex data and traditional methods (Box-Jenkins method) known for their accuracy in analysis. We will analyze the time series data of monthly peak electricity demand for ten years in the Kurdistan Region (January 2014 to July 2024) with a total of 127 observations.
The results of the Box-Jenkins method identified the SARIMA (1,0,1)(0,1,1)12 model as the most suitable for time series analysis, as it showed high predictive accuracy and outperformed other models in terms of RMSE, AIC and SBIC for forecasting electricity demand increase, While the results of the nonlinear autoregressive neural network (NARNN) model, which was structured by adjusting the hidden layer neurons and delay numbers through trial and error, showed that the optimal NARNN model (1:12,10) achieved the lowest RMSE, MAE, MAPE, and R values when compared to the other models tested.
When comparing the performance of the NAR neural network with the SARIMA method, the SARIMA (1,0,1)(0,1,1)12 model showed superiority over the NAR neural network in terms of accuracy, making it the better choice for forecasting peak electricity consumption and working to reduce the gap between demand and production in the future.

Data noise is one of the problems facing the accuracy of building time series models, such as the EGARCH model. In this article, it was proposed to treat the noisy data of the Exponential Generalized Autoregressive Conditional Heteroscedastic Time Series Model using wavelet analysis through wavelets (Daubechies, Coiflets, and Symlets), with a Universal thresholding and the application of a soft threshold rule. The efficiency and accuracy of the estimated parameters of the Exponential Generalized Autoregressive Conditional Heteroscedastic model (for unprocessed data from noise) were compared with the three proposed models using the Akaike and Bayesian information criteria by studying simulation data and real data based on a program in the MATLAB language designed for this purpose. The research results demonstrated that the proposed methods were more efficient than the ordinary Exponential Generalized Autoregressive Conditional Heteroscedastic model.