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Information System Development for Forecasting Electricity Demand

Student: Ermolaeva Svetlana

Supervisor: Aleksey Kychkin

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Final Grade: 10

Year of Graduation: 2020

The first chapter of this paper presents the results of an overview of the energy sector and its development. It found that there is a problem expressed in the imbalance between electricity production and consumption, the solution to which is a demand management process in which, in exchange for cash payments, consumers limit their use during maximum load hours. The analysis of existing solutions for the demand management market showed that there are currently no systems that effectively solve the problem of demand forecasting. The second chapter presents the results of designing a system for electricity demand forecasting based on EMS INSYTE solution from Perm company, manufacturer of building management systems "Smart House". The third part of the work is devoted to the system implementation, its testing and implementation into the existing solution. The work consists of 48 pages of basic text and 6 applications.

Full text (added June 7, 2020)

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