TELKOMNIKA Telecommunication, Computing, Electronics and Control
Fuzzy clustering means algorithm analysis for power demand prediction at PT PLN Lhokseumawe

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Fuzzy clustering means algorithm analysis for power demand prediction at PT PLN Lhokseumawe

Consumption prediction
Electricity demands
Fuzzy cluster mean

Indonesian National Electricity Company (PT PLN) as the main electric power
provider in Lhokseumawe City. In fulfilling the need of electricity supply for
the whole requirement, which upscale gradually. The proper forecasting
method need to be premeditated. The area that was grouped based on the total
of power consists of the four sub districts, namely Banda Sakti, Blang Mangat,
Muara Dua and Muara Satu. In this study the fuzzy clustering mean (FCM)
Classification was applied in determining the power demand of each area and
categorized into a cluster respectively. The data clustering divided into six
variable and five classifications of power of customer. Based on clustering step
that applied revealed for four different classification of power requirement for
future demand, the house hold electricity consumption measured for current
consumption 9,588,466 Kw/H and forecast 10,037,248 Kw/H, for Business
cluster classification measured 10,107,845 Kw/H and forecast 10,566,854
Kw/H, for industry the power measured 9,195,027 Kw/H and the forecasting
revealed 9,638,804 Kw/H, and the last analysis was applied in general cluster
classification based on measurement was recorded 9,729,048 Kw/H and
forecasted result 10,198,282 Kw/H. this method has shown the better result in
term of forecasting method by employing the cluster system in determining
future power consumption requirement for the area of Lhokseumawe District.

Muhammad Sadli, Wahyu Fuadi, Faizar Abdurrahman, Nurul Islami, Muhammad Ihsan

http://journal.uad.ac.id/index.php/TELKOMNIKA

May 2, 2021

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