Daily Peak Load Forecast of Banda Aceh City Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method

H Tindra, ID Sara, R Adriman - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Electrical energy has become a fundamental need for society to achieve economic and
technical efficiency. To meet the demand for electrical energy, the thing that is done is …

Short-term electricity load forecasting model based dsarima

I Mado, A Rajagukguk, A Triwiyatno… - International Journal of …, 2022 - ijeepse.id
Forecasting short-term electrical load is very important so that the quality of the electrical
power supplied can be maintained properly. The study was conducted to measure the …

Short-Term Load Forecasting using Artificial Neural Network in Indonesia

SJA Sumarauw - ILKOM Jurnal Ilmiah, 2023 - jurnal.fikom.umi.ac.id
Abstract Short-term Load Forecast (STLF) is a load forecasting that is very important to study
because it determines the operating pattern of the electrical system. Forecasting errors, both …

[PDF][PDF] Prakiraan Kebutuhan Energi Listrik dengan Jaringan Saraf Tiruan (Artificial Neural Network) Metode Backpropagation Tahun 2020-2025

D Setyowati - Jurnal EECCIS, 2020 - academia.edu
Kebutuhan energi listrik merupakan salah satu hal utama yang diprioritaskan oleh penyedia
listrik. Perlunya dilalukan perencanaan terhadap pemenuhan kebutuhan energi listrik oleh …

Simple Exponential Smoothing for Forecasting the Numbers of Pole-Mounted Transformer Failures

N Mbuli, JHC Pretorius - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
Pole-mounted transformers form the vital link between the electric utility company and the
final consumer of electricity. In this paper, the authors use the simple exponential smoothing …

Порівняльний аналіз методів короткострокового багатокрокового прогнозування електричного навантаження

ПО Зінькевич, СМ Балюта, ЮВ Куєвда - 2022 - dspace.nuft.edu.ua
Анотація Багатокрокове прогнозування електричного навантаження (ПЕН) дає змогу
передбачити багатоетапне споживання електроенергії в майбутньому. Багато-крокове …

SHORT-TERM FORECASTING DAILY ELECTRICITY LOADS USING SEASONAL ARIMA PATTERNS OF GENERATION UNITS AT PT. PLN (PERSERO) TARAKAN …

I Mado, A Budiman, A Triwiyatno - Jurnal Ilmiah Kursor, 2023 - kursorjournal.org
Electrical power requirements at load centers tend to change over time, so the State
Electricity Company (PLN) as a provider of electrical energy must be able to predict …

Adaptive neuro-fuzzy inference systems and data clustering for short-term load forecasting in a capacity constrained market

E Weyermuller - 2021 - scholar.sun.ac.za
Accurate short-term load forecasting of electrical power systems is of critical importance
when it comes to accurately managing and controlling a modern grid. It allows for the …

[PDF][PDF] COMPARATIVE ANALYSIS OF METHODS OF SHORT-TERM ELECTRIC LOAD FORECASTING ONE STEP FORWARD

P Zinkevych, S Baluta, I Kuievda - 2021 - scholar.archive.org
У статті досліджено математичні моделі на основі статистичних методів і методів
штучного інтелекту для прогнозування електричного навантаження (ПЕН) промислових …