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Today, because of the increasing need for the energy resources and the reduction of fossil fuels, renewable energy, especially wind energy, has attracted special attention. The precise forecasting of such energy will be the main factor in designing and investing in this field. On the other hand, the wind energy forecast provides the possibility of optimal use of available resources. In addition, the produce maximum energy would be possible by identifying wind direction and putting wind turbines in the best position.

Time series forecasting methods with long-term memory in this research have been used.

Eventually, the autoregressive fractionally integrated moving average (3,0,0)-FIGARCH (1,0,1) long-term memory model has more acceptable performance. The obtained error is based on the RMSE (0.2889) and the TIC (0.2605) values.

In this paper, the forecast wind direction belongs to Ardebil province and Nayer city in Iran.

The speed and direction of wind are variables that constantly change; hence, it will be difficult to predict the exact wind energy. In recent years, some studies have been conducted on wind speed forecasting, whereas wind direction forecasting has been done in a fewer number of studies. Most studies are related to low-lying areas. As the height of the wind turbine is directly related to the energy generation, 78 m height has been considered in this study.

Total quality management (TQM) is a part of the total quality assurance perspective. This system, which is considered as a type of managerial philosophy, employs all organizational levels to constantly ameliorate the quality of goods and service. The purpose of this paper is to measure the effect of hard and soft TQM factors on the behavior of customers based on the role of innovation and continuous improvement.

The research model was extracted from TQM variables in hard and soft parts, customer behavior, innovation and continuous improvement by reviewing the literature and research background. Based on this, a questionnaire was prepared and then, distributed among the statistical population including 374 project managers, quality assurance managers as well as quality control managers by using simple random sampling. All sub-criteria of questionnaire were determined using Delphi technique, to test the research model. Having gathered the questionnaire, the hypotheses were analyzed by using structural equation modeling and AMOS software.

According to the statistical analyses, TQM has a significant effect on customer behavior through continuous improvement of the quality and innovation. Also, regarding the obtained results, the highest effect was related to the effect of hard TQM factors on customer behavior through innovation as 0.62. Furtheremore, TQM soft factors such as human resource management have significant effect on customer behavior through quality improvement and innovation. Moreover, TQM hard factors are effective on customer behavior through quality improvement and innovation.

The questionnaire was designed and distributed in order to evaluate the hypotheses in this study. One of the primary rationales behind utilizing this method instead of other methods such as interview was high geographical distribution of organizations. Using other moderator variables such as knowledge management, customer knowledge management and customer emotions can be conducted in the future in this area.

Changing the organizational relationships from task orientation to the process orientation, and controlling the organizational performance by measuring process innovations and improvements, while paying attention to the customer satisfaction system are suggested in this paper. These implications should be implemented in construction projects by department of project management office. Furtheremore, providing different communication for receiving the opinions of the customer and imposing them in the product and service, paying attention to the response system and customer complaint, implementation of this process in the organization, and having a process approach for presenting and developing services are the main subjects in this regard.

Unlike previous studies on this subject, a structural equation model is used for assessing unobservable latent constructs and their related interrelationship in measuring the impact of TQM factors. Focusing on customer behavior which is a broader domain than customer satisfation through continuous improvement of the quality and innovation is another value of this research.