Analisia Perhitungan Peramalan Konsumsi Energi Listrik Jangka Pendek Menggunakan Perbandigan Metode Regresi Linier Dan Koefisien Energi Penyulang Papar PT. PLN GI Banaran (Persero) UP3 Kediri
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Adrain, Muhammad Alif Praditya
Azzahra, Septianissa
Azzahra, Septianissa
Subject
Teknik Elektro
Datestamp
2022-09-28 07:51:14
Abstract :
By entering the modern era, the need for electrical energy is the most basic and important thing both for technological developments as well as for the benefit of many people, there- fore The electric power system must be used as a benchmark to always be developed so that it can serve the electricity needs of the community as a whole. In this case,demand forecasting is one of the important elements that can help the development of the electric power system in terms of planning. The calculation method used to determine the value of the load forecast is by using the linear regression method and the energy coefficient on the exposed feeder, using the actual data for January, February, March with the ref- erence data for April. From the calculation results, the average error ratio from the first to the thirtieth for calculations with Linear Regression is 23,712% with an accuracy value of 77,919%, while the calculation value using the Energy Coefficient is 13,829% with an accuracy value of 86,175%. , thus it can be seen that the calculation using the Energy Coefficient method has a better ability in terms of predicting electrical loads.
By entering the modern era, the need for electrical energy is the most basic and important thing both for technological developments as well as for the benefit of many people, there- fore The electric power system must be used as a benchmark to always be developed so that it can serve the electricity needs of the community as a whole. In this case,demand forecasting is one of the important elements that can help the development of the electric power system in terms of planning. The calculation method used to determine the value of the load forecast is by using the linear regression method and the energy coefficient on the exposed feeder, using the actual data for January, February, March with the ref- erence data for April. From the calculation results, the average error ratio from the first to the thirtieth for calculations with Linear Regression is 23,712% with an accuracy value of 77,919%, while the calculation value using the Energy Coefficient is 13,829% with an accuracy value of 86,175%. , thus it can be seen that the calculation using the Energy Coefficient method has a better ability in terms of predicting electrical loads.
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