About Quanta Services Inc
Quanta’s Company or known as Quanta Services Inc. is an American company providing infrastructure services to the communication industries, alongside, electric power, pipeline, and industrial sectors as well. founded in the year 1997, the company is known for its abilities in planning, installation, designing, program management, repairing, and maintenance of various types of network infrastructures (Quanta Services, 2022). The company provides end-to-end solutions to the electric power sectors. This is inclusive of generating stations, maintaining substations, transmission lines, and other aspects as well. This company has been selected for the report as the organization has a strong mission and vision for the future and makes use of modern technologies for establishing sustainability and growth of technologies in the future as well. not only that, the company relies on making a difference. That is, it is those companies who keep the employees and the consumers on the same page and provides them with equal opportunities as they deserve. The company has a huge global presence for being an integral part of the energy industry. However, their significant presence in the industrial and communication sectors, makes them highly responsible for numerous other works regarding maintaining sustainability and improving the effectiveness of the organization.
Technology is one of the most important parts of the organization at present. With the advent of technologies like cloud computing, artificial intelligence, big data analytics, and others. The company is focusing on the usage of advanced data analytics for the modern power systems which are in use. Data is one of the important components of the workplace. The data analytics techniques can be used for extracting insights from the data that are in the process of utility. There are three main areas which the data analytics techniques covers and they are perspective analytics, predictive analysis, and descriptive analysis of the data (Guerrero-Prado et al. 2020).
Quanta makes use of the huge amount of data that is generated by the power systems for performing descriptive analytics. This helps in the presentation of the raw data which can be obtained in an easy and digestive format for the systems. This helps in performing and illustrating the statistical information such that useful metadata can be obtained for the stakeholders of the company.
Apart from this, the company makes use of the predictive analysis of the data where it makes use of the machine learning tools and technologies, which help in making decisions for the company. The electrical systems generate a huge volume of information. All these must be handled effectively for understanding the system properly and the generation of insights as well. The future of the process or the trends can be anticipated in this case as well. With the help of the data generated the company performs perspective analytics. This helps in the integration of the business process with the levels of analytics in the business. This helps in delivering business intelligence and also assists in the process of decision-making for the organization.
Strategy Formulation With The Help Of Data Analytics And Machine Learning By Quanta:
The Importance of Technology for Quanta Services
Quanta not only makes use of the data analytics technologies for the formulation of strategies but also for the implementation of the same in Electric utilities. The first application of Quanta’s data analytics process is the analysis of the Intelligent Electronic Devices and all of these have helped the organization flourish in maintaining sustainability and effectiveness in the work process.
For conducting the research, there are certain sources of information that are considered. They are listed below:
Company Website
Google Scholar
Quanta’s Companies are some of the best organizations working with highly skilled experts, who are working round the clock to provide the required services to the customers. As they are in charge of the electric power, pipeline development, communication, and underground utilities as well. The company’s geographical expansion is in North America and Australia mainly. However, this is a job of responsibilities. As the communication systems and the electric power needs constant monitoring, traditional methods are not sufficient enough for performing the job. The process of monitoring underground facilities without the help of technology is a hectic job. It is impossible to determine the place where the issue has occurred (if any) without going down through the entire system. Besides, the job is not that easy as well because the risks of rupturing other connections or creating a huge mess while digging into the underground system can interrupt the functions of the entire process.
Quanta company adopted advanced data analytics techniques for modern-day power systems. There are several benefits of using advanced data analytics techniques. Here are some of the applications which have helped the organization cope with some of the major issues they have been facing lately with the systems.
Automated fault location. While working with the power systems or electrical circuits, faults are common. Technologies can malfunction with time. However, for a person to identify the same without getting their hands on the systems was not only time-consuming but also risky. Advanced data analytics helps in the determination of the area or the network where the faults have been detected. The custom-developed algorithm by the company helps in the analysis of the event data based on which the fault in the systems can be detected. Apart from that, this algorithm helps in noting down the system status, alongside the technical parameters of the equipment. There is an application that helps in the process of integration of the data and helps in processing the same with the help of the software-based automation systems. The system helps in the automatic retrieval of the fault event data from the devices that are employed in the field. They are linked with the software simulation packages to test the estimations of the faults. GIS-based resources are then used for providing a visual estimate to the people (Kadhim 2018).
Another major benefit the organization has obtained with the usage of the advanced data analytics technique is the generation of Compliance reports. Auditing huge systems or networks manually without the help of technologies is difficult as a huge amount of information has to be processed here as well. Automated generation of engineering summaries for NERC PRC along with CIP Compliance standards like PRC-026, PRC-023, CIP-10, and PRC-027 help in auditing the systems for identification of the areas which require maintenance or improvement (quanta-technology.com, 2022). This helps in providing detailed, in-depth documentation of the information which is required by the auditors for performing audits on the systems.
Data Analytics Techniques Used by Quanta Services Inc
This also helps in the assessment of performances of the Voltage Optimization Programs. Voltage Optimization is an application developed by the organization which helps in running the control centres for the distribution systems. This technique helps in the reduction of the feeder voltage alongside monitoring service voltage such that the energy consumption can be reduced. This helps in improving the sustainability of the systems and the products.
Advanced data analytics helped in the development and implementation of the advanced EV infrastructure planning for the development of the public charging infrastructure. It also helped in the development and implementation of non-wired alternatives for the people with the help of Distributed Energy Resources (DER) (Guerrero et al., 2020).
As the process is very new and still on the path of development, finding skilled labours and officials with knowledge regarding the technology is one of the major challenges which has been faced by the organization.
Sustainability and effectiveness of the work process are the two major achievements or benefits of the organization due to the implementation of the technologies. The organization makes use of innovative technologies for the development of new ways in which working in the power and energy sectors becomes easier and advanced data analytics technology is one of them.
Conclusion And Findings:
From the above discussion, it can be said that Quanta’s Company is trying to make a difference in the energy sector with the incorporation of new and innovative techniques. They make use of Advanced Data Analytics Techniques for enhancing the operations of the organization. The software automation-based routine helps in querying the content and status of the protection and controlling devices settings, software models, and more. any anomaly in the system can be detected with the help of this technique. The company’s data analytics techniques also help in locating faults in the electrical systems automatically. The custom-developed algorithm helps in performing analysis on the fault event data such that the issue can be determined. The field personnel can thus work on the issues and improve the system further. Apart from this, it helps in compliance Report Generation, Performance Assessment for Voltage Optimization programs, EV infrastructure planning, and more.
References:
quanta-technology.com. (2022). Advanced-Data Analytics for the Modern Power System – Quanta Technology. Quanta Technology. Retrieved 7 April 2022, from https://quanta-technology.com/advanced-data-analytics/.
Quanta Services. (2022). Global Presence – Quanta Services. Quanta Services. Retrieved 7 April 2022, from https://www.quantaservices.com/capabilities/global-presence/.
Kadhim, M. M. (2018). Monitoring land cover change using remote sensing and GIS techniques: a case study of Al-Dalmaj marsh, Iraq. Journal of Engineering, 24(9), 96-108.
Guerrero, J., Gebbran, D., Mhanna, S., Chapman, A. C., & Verbi?, G. (2020). Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading. Renewable and Sustainable Energy Reviews, 132, 110000.
Guerrero-Prado, J. S., Alfonso-Morales, W., Caicedo-Bravo, E., Zayas-Pérez, B., & Espinosa-Reza, A. (2020). The power of big data and data analytics for AMI data: A case study. Sensors, 20(11), 3289.
Fan, C., Yan, D., Xiao, F., Li, A., An, J., & Kang, X. (2021, February). Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. In Building Simulation (Vol. 14, No. 1, pp. 3-24). Tsinghua University Press.