Combined method of recovery of data on electric power consumption
dc.contributor.advisor | Волошко, Анатолій Васильович | |
dc.contributor.author | Almabrok, Rashed | |
dc.date.accessioned | 2020-08-27T11:44:31Z | |
dc.date.available | 2020-08-27T11:44:31Z | |
dc.date.issued | 2020-05 | |
dc.description.abstracten | Subject relevance When entering metering values on the level of consumption of resources there can be operation failures in counter devices. The difficulty of lost data recovery arises due to the diversity of consumption schedules. In order to solve this problem, it is necessary to develop a comprehensive approach to the process of recovery of unregistered values. Connection of the thesis with scientific programs, plans, and subjects The results of data recovery studies were used as recommendations for the recovery of lost accounting values for energy consumption at a chemical plant. Purpose and tasks of research The purpose of the thesis is to develop guidelines for the application of specific methods of information recovery. In the course of work the task is to compare existing methods of data recovery with different types of functions. As a parameter that determines the advantage of a particular method, the relative error is chosen. The general task of the thesis is to show the advantages of local and global methods of data recovery when calculating electricity consumption compared with the methods used by power supply organizations. Object of research In this paper, samples of data formed on electricity and gas consumption, as well as ammonia production, serve as a research object. Scope of research The scope of research covers the interrelation of the parameters of consumption and production. Research methods The paper describes two approaches to the recovery of lost data. The first one involves using local methods for information recovery. The second approach involves applying global methods. In order to verify the reliability of the results of information recovery methods, data that did not contain gaps was used and the result was comparable due to the calculation of the relative error. Scientific novelty of the results In the process of solving the problem the following scientific results were obtained: 1) The combined method of lost data recovery allows us to get better results in comparison with the application of a particular method due to its adaptation to different types of functions. 2) The developed method can be used more conveniently for calculation of consumed electricity in comparison with existing ones. This is achieved by the fact that the method takes into account the nature of electricity consumption during the calculation period. Practical value of the results The developed method of signal processing covers a wide range of tasks. It can be used at enterprises that keep records of the consumption of electric energy, it can be used in calculations for electricity consumed by both enterprises and power supply organizations. | uk |
dc.format.page | 98 p. | uk |
dc.identifier.citation | Almabrok, R. Combined method of recovery of data on electric power consumption : master’s thesis : 141 Electrical Energetics, Electrical Engineering and Electromechanics / Almabrok Rashed. – Kyiv, 2020. – 98 p. | uk |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/35851 | |
dc.language.iso | en | uk |
dc.publisher | Igor Sikorsky Kyiv Polytechnic Institute | uk |
dc.publisher.place | Kyiv | uk |
dc.subject | method | uk |
dc.subject | data recovery | uk |
dc.subject | local | uk |
dc.subject | global | uk |
dc.subject | diagrams of electrical loads | uk |
dc.subject | simulation | uk |
dc.subject | statistical method | uk |
dc.subject | approximation | uk |
dc.subject | relative error | uk |
dc.title | Combined method of recovery of data on electric power consumption | uk |
dc.type | Master Thesis | uk |
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