Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Electrical Engineering and Computer (JEECOM)
Arie Susilo
Polytechnic of Energy and Mineral Akamigas
Control & Systems Engineering Electrical & Electronics Engineering Energy

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Feature-Normalized k-Nearest Neighbor Classification for Real-Time Photovoltaic Maintenance Monitoring Novan Akhiriyanto; Arie Susilo; Wasis Waskito Adi
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 2 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i2.16749

Abstract

Photovoltaic (PV) module performance is significantly affected by environmental factors, particularly solar irradiation, panel surface temperature, and soiling, requiring a monitoring and maintenance system responsive to varying PV operating conditions. This study proposes a maintenance condition classification system integrating real time sensor measurement with a feature-normalized k-Nearest Neighbor (k-NN) algorithm to identify four panel conditions (Neglected, PV Normal, Dusty PV, and Hot PV) requiring specific maintenance intervention. The methodological contribution comprises three aspects: an explicit labeling procedure with thresholds derived from empirical analysis of 250 field samples, avoiding circularity between label determination and classification features; a Min-Max normalization scheme ensuring each feature contributes proportionally to the Euclidean distance calculation in k-NN; and stratified 10-fold cross validation providing an unbiased estimate of generalization performance while revealing overfitting risks otherwise hidden in a simple train-test split. Experimental results show that the k=3 configuration achieves 95.2% ± 2.99% accuracy with superior consistency, balancing high accuracy and stability for deployment on power constrained microcontrollers such as the ESP32. The system integrates a Nextion graphical interface for real-time monitoring and condition notification, providing a platform for condition based maintenance decision making in community scale and industrial photovoltaic installations.
Co-Authors Novan Akhiriyanto Wasis Waskito Adi