power-quality

Control Scheme of a Series Active Power Filter

Aircraft electrical power system simulation with failure scenarios and MIL-STD-704-style voltage quality assessment.

Implementações didáticas e experimentais baseadas em Ant Colony Optimization (ACO), incluindo otimização contínua, planejamento agroeconômico para Agricultura 4.0 e estimação harmônica em sinais elétricos com ACOR

MATLAB/Simulink project for harmonic mitigation and power quality enhancement in AC electric traction systems using 3rd, 5th, and 7th tuned passive harmonic filters.

Home Assistant custom integration for Janitza UMG 604-PRO via Modbus TCP

Code for the concept paper presenting physics-aware neural networks for power quality state estimation

Hub de pesquisa e desenvolvimento em Engenharia Elétrica: sistemas embarcados, instrumentação, qualidade de energia, IoT e automação — organizado em submódulos independentes (QEE, Smart Home, PAPIC).

Pesquisa aplicada em Qualidade de Energia Elétrica: monitoramento, DSP e sistemas embarcados para instalações residenciais, IoT e Smart Grids.

Smart Meter em ESP32 para monitoramento de Qualidade de Energia Elétrica, com foco em análise de conteúdo harmônico e Distorção Harmônica Total (DHT).

반도체 팹 전력품질 이벤트 분류 — IEEE 1159 파형 기반, 규칙기반 vs 랜덤포레스트 잡음 내성 비교

Open-source parser, event detector, and chart generator for Fluke 3540 FC three-phase power logger sessions (trend.bin / .fel). Web app + Python CLI. Linux/macOS/Windows. Drop-in replacement for Fluke Energy Analyze Plus exports.

Deep Learning based Power Quality Disturbance Detection and Classification using STFT and CNN.

EPS32-based IOT Power Quality Monitoring and Protection System

SVM classifier predicting harmonic distortion state from power quality data , includes a documented forecasting attempt that didn't work, and the pivot that worked

Detect and classify power-quality events in voltage recordings, per IEEE Std 1159

MATLAB implementation of a multi-scale Bayesian Residual Transform (BRT) to enhance power quality signals. It decomposes noisy signals containing power quality disturbances using Nadaraya-Watson kernel regression, applies MAD soft-thresholding for denoising, and outputs IEEE-formatted metrics (SNRI, THD, RMSE).

Unified Namespace IIoT platform (ISA-95 L0-L4). Two layers: edge-ML condition monitoring (NASA IMS bearings, FFT + Isolation Forest on Raspberry Pi) and an Energy Intelligence Layer (SENTRON Modbus emulator, Sparkplug B, TimescaleDB, Grafana, harmonic-aware PFC monitoring). Stack: Node-RED, HiveMQ, Ignition, AWS IoT.

MATLAB/Simulink models for evaluating control-dependent SiC active rectifier performance in ultra-low-voltage, high-current electrowinning power supplies.

PyTorch-based multiclass power quality fault detection using engineered electrical features and neural network classification.

Three-Phase Load Balancing and Power-Factor Correction Simulation