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All Journal Journal La Multiapp Journal of Applied Science and Advanced Engineering
Ahmad Rofii
Program Studi Teknik Elektro, Fakultas Teknik, Universitas 17 Agustus 1945 Jakarta, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Physics

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Prediction of Peak Load Electricity Consumption in Apartment X Building Using Deep Learning with GRU Method Yusuf, Yusuf; Rofii, Ahmad; Muliadi, Jemie
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.81

Abstract

This study presents a predictive framework for daily electricity consumption forecasting in Apartment X using a Recurrent Neural Network (RNN) model with the Gated Recurrent Unit (GRU) method. The dataset consists of daily electricity log sheets containing two main variables: Peak Load Time (WBP) and Off-Peak Load Time (LWBP). The preprocessing stage includes data cleaning, normalization using Min–Max Scaling, and sequence formation through a sliding window approach. The GRU architecture comprises two hidden layers, a dropout layer, and optimization using the Adam optimizer. The model’s performance was evaluated using MAE, RMSE, and R². The results show that the GRU model achieved an R² value of 0.623, indicating a good capability in capturing consumption patterns. This study contributes to energy forecasting studies in developing countries, emphasizing smart building energy management applications
Simulation of Harmonic Impact on Household Electrical Installations Due to the Use of Modern Electronic Equipment Yosua Mordhekai Hutabarat; Ahmad Rofii
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2542

Abstract

The advancement of digital technology has led to increased usage of modern electronic devices in households such as LED televisions, inverter air conditioners, and SMPS-based chargers which are technically classified as non-linear loads. These loads generate harmonics, i.e., waveform distortions of current and voltage due to frequency components other than 50 Hz, which degrade power quality. This study aims to analyze the characteristics and impact of harmonics on household electrical installations and to evaluate the effectiveness of harmonic filters in reducing such distortions. The methodology includes literature review and simulation of a 220 V single-phase residential power system using MATLAB/Simulink. Simulations were conducted under three conditions: linear load usage, non-linear load without filter, and non-linear load with passive LC harmonic filter. Results show that the Total Harmonic Distortion of current (THDi) significantly increased from approximately 0.5% under linear load to 60–70% under non-linear load without filtering, and then dropped to 22–28% with the implementation of LC filter. Power factor also improved from 0.77 to 0.93. The simulation confirms that harmonics severely affect energy efficiency and system stability, and that applying harmonic filters can be an effective mitigation strategy for modern household electrical systems.
Co-Authors Muliadi, Jemie Yosua Mordhekai Hutabarat Yusuf Yusuf