FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING
The consumption of electrical energy for the community every year has increased including the electricity consumption of PLN UP3 Cengkareng customers. Therefore, PLN UP3 Cengkareng must supply electricity to customers in all categories such as Social Category, Household Category, Business Category,...
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| Format: | Article |
| Language: | English |
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LPPM ISB Atma Luhur
2024-02-01
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| Series: | Jurnal Sisfokom |
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| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1849 |
| _version_ | 1797225914383204352 |
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| author | Novia Dewi Jan Everhard Riwurohi |
| author_facet | Novia Dewi Jan Everhard Riwurohi |
| author_sort | Novia Dewi |
| collection | DOAJ |
| description | The consumption of electrical energy for the community every year has increased including the electricity consumption of PLN UP3 Cengkareng customers. Therefore, PLN UP3 Cengkareng must supply electricity to customers in all categories such as Social Category, Household Category, Business Category, Industry Category and Government Category. With customer needs that continue to increase, it is necessary to forecast future electricity needs, so that PLN UP3 Cengkareng can provide the required electrical power. For this reason, it is necessary to predict the electricity demand. This research was conducted to forecast the electricity demand of UP3 Cengkareng by using the Deep Learning Model Long Short-Term Memory (LSTM). The data set used in this study was taken from the PLN UP3 Cengkareng information system, for 10 years, the period from 2012 to 2021. The data used is divided into 2 categories, namely 70% training data and 30% testing data. The results obtained from this prediction are 96,689, with an average neuron value of 32 and an epoch value of 10. |
| first_indexed | 2024-03-08T00:46:28Z |
| format | Article |
| id | doaj.art-c73421c4d731408d97b78e8aafd02a71 |
| institution | Directory Open Access Journal |
| issn | 2301-7988 2581-0588 |
| language | English |
| last_indexed | 2024-04-24T14:16:35Z |
| publishDate | 2024-02-01 |
| publisher | LPPM ISB Atma Luhur |
| record_format | Article |
| series | Jurnal Sisfokom |
| spelling | doaj.art-c73421c4d731408d97b78e8aafd02a712024-04-03T08:40:45ZengLPPM ISB Atma LuhurJurnal Sisfokom2301-79882581-05882024-02-01131132010.32736/sisfokom.v13i1.1849833FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNINGNovia Dewi0Jan Everhard Riwurohi1Computer Science Master's Study Program, Faculty of Information Technology, Budi Luhur UniversityComputer Science Master's Study Program, Faculty of Information Technology, Budi Luhur UniversityThe consumption of electrical energy for the community every year has increased including the electricity consumption of PLN UP3 Cengkareng customers. Therefore, PLN UP3 Cengkareng must supply electricity to customers in all categories such as Social Category, Household Category, Business Category, Industry Category and Government Category. With customer needs that continue to increase, it is necessary to forecast future electricity needs, so that PLN UP3 Cengkareng can provide the required electrical power. For this reason, it is necessary to predict the electricity demand. This research was conducted to forecast the electricity demand of UP3 Cengkareng by using the Deep Learning Model Long Short-Term Memory (LSTM). The data set used in this study was taken from the PLN UP3 Cengkareng information system, for 10 years, the period from 2012 to 2021. The data used is divided into 2 categories, namely 70% training data and 30% testing data. The results obtained from this prediction are 96,689, with an average neuron value of 32 and an epoch value of 10.https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1849deep learningelectricity consumptionlong shortterm memoryplnprediction |
| spellingShingle | Novia Dewi Jan Everhard Riwurohi FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING Jurnal Sisfokom deep learning electricity consumption long shortterm memory pln prediction |
| title | FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING |
| title_full | FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING |
| title_fullStr | FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING |
| title_full_unstemmed | FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING |
| title_short | FORECASTING THE ELECTRICITY CONSUMPTIONS OF PLN UP3 CENGKARENG USING DEEP LEARNING |
| title_sort | forecasting the electricity consumptions of pln up3 cengkareng using deep learning |
| topic | deep learning electricity consumption long shortterm memory pln prediction |
| url | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1849 |
| work_keys_str_mv | AT noviadewi forecastingtheelectricityconsumptionsofplnup3cengkarengusingdeeplearning AT janeverhardriwurohi forecastingtheelectricityconsumptionsofplnup3cengkarengusingdeeplearning |