Dubai’s Smart Grid strategy includes the implementation of Distributed Energy Resources and Distribution Automation (DA) facilities to continuous monitoring and remote control from DEWA’s Distribution Control Center (DCC) , and, in some cases, automatic control of electric distribution assets operated at 33kV or lower. The increase level of telemetry and automation in the field imposes a greater challenge in monitoring and live data visualization for establishing a decision support system that empowers distribution system operators and enables optimal control of existing and planned assets. This challenge can be overcome through introducing data science tools in the sector of energy. Through imposing certain reporting and visualization tool, the data generated utilization level is improved which will lead to an increase in reliability and efficiency, rise asset utilization, workforce productivity, decision making, thus, increase customer satisfaction.
The use case covered during this capstone proposal is one of the daily reports generated by distribution operation department manually on the daily bases. During this project, data science tools will be benchmarked accordingly to distribution power utility needs of reporting and anticipating certain parameters such as distribution solar generation and key performance indicators (SAIDI, SAIFI, CML, MTTR, MTBF etc.). The selected tool will be utilized to generate live reports/ dashboards and to decrease the level of manpower intervention. This proposal will highlights the background of the project, problem statement, project definition and goals and explains project methodology and evaluation followed by project deliverables & timeline.
Professional Studies - City Sciences (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Alblooshi, Noora Ibrahim, "Visualization & Automation of Shams Dubai Report" (2020). Thesis. Rochester Institute of Technology. Accessed from