BIG DATA IN THE ELECTRIC POWER INDUSTRY SECTION

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Application of Big Data Analytics in Power Distribution Network

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...

Productivity Performance of The Iraninan Electric Power Industry

This paper is concerned with the estimation of total factor productivity (TFP) growth for the Iranian electric utilities during the period 1980-1993 on the basis of panel data. A translog cost function is used which accommodates firm - specific variability through a one - way error component model. The results show that the Iranian electricity supply industry experienced increasing returns to s...

Comparison of the Efficiency of Power Transmission Companies in the Electric Power Industry of Iran Applying Conventional and Network Data Envelopment Analysis Methods

This study is an applied study conducted to evaluate and compare the efficiency of Iran's regional power companies using conventional and network Data Envelopment Analysis methods. Iran's regional power companies use two- phased process to transmit power. Using applied approach, the performance and efficiency of these companies were measured with network and conventional methods, and they were ...

Ethical Issues in the Big Data Industry