# Power Quality and Harmonics

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/power-quality-and-harmonics/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on power quality analysis and mitigation techniques, including the use of harmonic filters, active power filters, dynamic voltage restorers, and reactive power compensation. The research covers topics such as voltage sags, wavelet transform, neural network applications, and control strategies for improving power quality in distribution systems. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t10573 |
| Works | 12 |

## Topic papers all

- [Time–frequency methods for trend removal in electrochemical noise data](https://scholariq.org/papers/time-frequency-methods-for-trend-removal-in-electrochemical-noise-data/)
- [Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique](https://scholariq.org/papers/power-quality-improvement-in-hres-grid-connected-system-with-fopid-based-atom/)
- [IoT embedded cloud-based intelligent power quality monitoring system for industrial drive application](https://scholariq.org/papers/iot-embedded-cloud-based-intelligent-power-quality-monitoring-system-for/)
- [Probabilistic harmonic forecasting of the distribution system considering time-varying uncertainties of the distributed energy resources and electrical loads](https://scholariq.org/papers/probabilistic-harmonic-forecasting-of-the-distribution-system-considering-time/)
- [Power Quality Improvement in Renewable-Energy-Based Microgrid Clusters Using Fuzzy Space Vector PWM Controlled Inverter](https://scholariq.org/papers/power-quality-improvement-in-renewable-energy-based-microgrid-clusters-using/)
- [A Classification Method for Power-Quality Disturbances Using Hilbert–Huang Transform and LSTM Recurrent Neural Networks](https://scholariq.org/papers/a-classification-method-for-power-quality-disturbances-using-hilbert-huang/)
- [Development and testing of a bidirectional distribution electronic power transformer model](https://scholariq.org/papers/development-and-testing-of-a-bidirectional-distribution-electronic-power/)
- [Power Quality Disturbance Classification via Deep Convolutional Auto-Encoders and Stacked LSTM Recurrent Neural Networks](https://scholariq.org/papers/power-quality-disturbance-classification-via-deep-convolutional-auto-encoders/)
- [Classification of Power Quality Disturbances using Hilbert Huang Transform and a Multilayer Perceptron Neural Network Model](https://scholariq.org/papers/classification-of-power-quality-disturbances-using-hilbert-huang-transform-and-a/)
- [Effects of voltage unbalance on torque and current of the induction motors](https://scholariq.org/papers/effects-of-voltage-unbalance-on-torque-and-current-of-the-induction-motors/)
- [Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances](https://scholariq.org/papers/deep-learning-algorithm-for-automatic-classification-of-power-quality/)
- [A systematic analysis of the gradual increase in quality indicators of electricity using reactive power sources involves several steps](https://scholariq.org/papers/a-systematic-analysis-of-the-gradual-increase-in-quality-indicators-of/)

## Topic primary papers

- [IoT embedded cloud-based intelligent power quality monitoring system for industrial drive application](https://scholariq.org/papers/iot-embedded-cloud-based-intelligent-power-quality-monitoring-system-for/)
- [A Classification Method for Power-Quality Disturbances Using Hilbert–Huang Transform and LSTM Recurrent Neural Networks](https://scholariq.org/papers/a-classification-method-for-power-quality-disturbances-using-hilbert-huang/)
- [Power Quality Disturbance Classification via Deep Convolutional Auto-Encoders and Stacked LSTM Recurrent Neural Networks](https://scholariq.org/papers/power-quality-disturbance-classification-via-deep-convolutional-auto-encoders/)
- [Classification of Power Quality Disturbances using Hilbert Huang Transform and a Multilayer Perceptron Neural Network Model](https://scholariq.org/papers/classification-of-power-quality-disturbances-using-hilbert-huang-transform-and-a/)
- [Effects of voltage unbalance on torque and current of the induction motors](https://scholariq.org/papers/effects-of-voltage-unbalance-on-torque-and-current-of-the-induction-motors/)
- [Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances](https://scholariq.org/papers/deep-learning-algorithm-for-automatic-classification-of-power-quality/)
- [A systematic analysis of the gradual increase in quality indicators of electricity using reactive power sources involves several steps](https://scholariq.org/papers/a-systematic-analysis-of-the-gradual-increase-in-quality-indicators-of/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.