{"id":26439,"date":"2026-03-20T15:14:52","date_gmt":"2026-03-20T14:14:52","guid":{"rendered":"https:\/\/electrical-engineering-portal.com\/academy\/?post_type=product&#038;p=26439"},"modified":"2026-03-20T15:14:52","modified_gmt":"2026-03-20T14:14:52","slug":"course-detect-identify-power-quality-problems-using-artificial-intelligence-ai","status":"publish","type":"product","link":"https:\/\/electrical-engineering-portal.com\/academy\/product\/course-detect-identify-power-quality-problems-using-artificial-intelligence-ai\/","title":{"rendered":"Learn How to Detect and Identify Power Quality Problems Using Artificial Intelligence (AI)"},"content":{"rendered":"<p>Learn how to detect and identify power quality problems using Artificial Intelligence (AI), especially LSTM deep learning. This course covers voltage sags, swells, interruptions, surges, flicker, and harmonic distortions \u2014 from simple to complex cases. Includes MATLAB simulation files and real-world voltage and current data in Excel for hands-on analysis and practical understanding.<\/p>\n<p>In this course, you\u2019ll learn how <strong>to detect and identify power quality problems<\/strong> in electrical systems using Artificial Intelligence (AI) \u2014 specifically the Long Short-Term Memory (LSTM) deep learning technique.<\/p>\n<div class=\"info_box\">Power quality issues such as <strong>voltage sag, swell, interruption, surge, flicker, and harmonic distortion<\/strong> can severely affect electrical equipment and system performance. This course guides you step-by-step through how to analyze, classify, and predict these problems with high accuracy using LSTM.<\/div>\n<p>You\u2019ll explore both simple and complex disturbances, including cases where multiple problems occur together \u2014 such as a sag with harmonic distortion.<\/p>\n<p><iframe src=\"https:\/\/player.vimeo.com\/video\/1169523024?dnt=1&amp;app_id=122963\" width=\"640\" height=\"360\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe><\/p>\n<p>To help you learn practically:<\/p>\n<ul>\n<li>MATLAB (M-file) simulation codes will be attached.<\/li>\n<li>Real-world voltage and current data (in Excel files) will be included for hands-on analysis.<\/li>\n<\/ul>\n<div class=\"info_box\">The course has been explained in a practical manner, relying on simplicity in theoretical explanations and placing greater emphasis on <strong>visuals and real-life practical examples<\/strong>. This approach allows us to connect academic theoretical study with what actually exists in <strong>practical reality for real-world application<\/strong> after completing this course.<\/div>\n<p>The course we have is closely related to the power systems and electrical distribution systems. In this course, we provide the categorization of power quality problems using AI technique, or detection and identification of power quality problems using Artificial Intelligence Technique (LSTM Network).<\/p>\n<p><iframe src=\"https:\/\/player.vimeo.com\/video\/1169524442?dnt=1&amp;app_id=122963\" width=\"640\" height=\"360\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe><\/p>\n<h2 class=\"wp-block-heading\">Course Contents:<\/h2>\n<h4 class=\"wp-block-heading\">1. Introduction<\/h4>\n<ul class=\"wp-block-list\">\n<li>Importance of power quality in modern electrical systems<\/li>\n<li>Impact of poor power quality on equipment and operations<\/li>\n<li>Overview of AI techniques for power quality detection<\/li>\n<li>Focus on <strong>Long Short-Term Memory (LSTM)<\/strong> deep learning model<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">2. Power Quality Overview<\/h4>\n<ul class=\"wp-block-list\">\n<li>Definition of power quality and related standards<\/li>\n<li>Typical power quality indices (RMS voltage, frequency, THD)<\/li>\n<li>Causes and effects of poor power quality<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">3. Types of Power Quality Problems<\/h4>\n<ul class=\"wp-block-list\">\n<li><strong>Simple problems:<\/strong> voltage interruption, sag, swell, surge, flicker, harmonic distortion<\/li>\n<li><strong>Complex problems:<\/strong> combinations like sag + harmonics, swell + harmonics<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">4. Data Preparation and Simulation<\/h4>\n<ul class=\"wp-block-list\">\n<li>Generation of voltage waveforms for various disturbances<\/li>\n<li>MATLAB simulations for normal and distorted voltage conditions<\/li>\n<li>Time-domain and frequency-domain analysis<\/li>\n<li>Use of <strong>Excel datasets<\/strong> for real current and voltage measurements<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">5. Long Short-Term Memory (LSTM) Technique<\/h4>\n<ul class=\"wp-block-list\">\n<li>Concept and structure of LSTM networks<\/li>\n<li>Difference between RNN and LSTM<\/li>\n<li>LSTM layers, gates, and sequence learning<\/li>\n<li>Advantages of LSTM in time-series signal analysis<\/li>\n<\/ul>\n<p><iframe src=\"https:\/\/player.vimeo.com\/video\/1169524963?dnt=1&amp;app_id=122963\" width=\"640\" height=\"360\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe><\/p>\n<h4 class=\"wp-block-heading\">6. Model Training and Testing<\/h4>\n<ul class=\"wp-block-list\">\n<li>Dataset splitting (training, validation, testing)<\/li>\n<li>Model parameters: epochs, learning rate, activation functions<\/li>\n<li>Loss function and accuracy evaluation<\/li>\n<li>MATLAB implementation and model outputs<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">7. Case Studies<\/h4>\n<ul class=\"wp-block-list\">\n<li><strong>Normal voltage waveform (without noise):<\/strong> baseline analysis<\/li>\n<li><strong>Voltage sag, swell, interruption, harmonic distortion:<\/strong> detection and classification<\/li>\n<li><strong>Complex disturbances:<\/strong> sag + harmonic distortion, swell + harmonic distortion<\/li>\n<li>Visualization of <strong>LSTM outputs<\/strong> and classification accuracy<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">8. Results and Evaluation<\/h4>\n<ul class=\"wp-block-list\">\n<li>Comparison between actual and predicted results<\/li>\n<li>High detection accuracy (&gt;99%) for all cases<\/li>\n<li>LSTM output interpretation:\n<ul class=\"wp-block-list\">\n<li>Output 1 = 1 \u2192 no problem<\/li>\n<li>Output 2 = 0 \u2192 no harmonic distortion<\/li>\n<\/ul>\n<\/li>\n<li>Total Harmonic Distortion (THD) values and duration accuracy<\/li>\n<\/ul>\n<p><iframe src=\"https:\/\/player.vimeo.com\/video\/1169525670?dnt=1&amp;app_id=122963\" width=\"640\" height=\"360\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe><\/p>\n<h4 class=\"wp-block-heading\">9. Practical Applications<\/h4>\n<ul class=\"wp-block-list\">\n<li>Implementation in real power systems and smart grids<\/li>\n<li>Role of AI in condition monitoring and predictive maintenance<\/li>\n<li>Integration with data acquisition systems<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">10. Course Files and Resources<\/h4>\n<ul class=\"wp-block-list\">\n<li><strong>MATLAB (M-file)<\/strong> for simulation and prediction<\/li>\n<li><strong>Excel files<\/strong> with real voltage and current data<\/li>\n<li>Figures, tables, and waveform examples for each disturbance case<\/li>\n<li>Reference materials for further reading<\/li>\n<\/ul>\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Course Summary:<\/h2>\n<ol class=\"wp-block-list\">\n<li>Introduction to Power Quality and Download Course Materials (PDF, XLSX\u2026)<\/li>\n<li>Literature Review<\/li>\n<li>Proposed Power Quality Detection Technique<\/li>\n<li>Simulation Results<\/li>\n<li>Practical Results<\/li>\n<li>Conclusions<\/li>\n<\/ol>\n<\/div>\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Who Is This Course For:<\/h2>\n<ul class=\"wp-block-list\">\n<li>Electrical engineers and power system professionals<\/li>\n<li>Researchers working in power quality and AI applications<\/li>\n<li>Students and postgraduate learners in electrical or power engineering<\/li>\n<li>Anyone interested in applying <strong>deep learning<\/strong> to <strong>signal analysis<\/strong><\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Requirements:<\/h2>\n<ul class=\"wp-block-list\">\n<li>MATLAB \/ Simulink<\/li>\n<li>Office Program (Excel)<\/li>\n<li>Calculator<\/li>\n<li>PDF Reader<\/li>\n<li>Passion and Patience for Learning.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>This course focuses on the detection and identification of power quality issues in electrical systems through the application of Artificial Intelligence (AI) techniques. It covers voltage sags, swells, interruptions, surges, flickers, and harmonic distortions, ranging from simple to complex scenarios. The course includes 6 sections and 81 lectures, with a total duration of 5 hours.<\/p>\n<div class=\"single_add_to_cart_button button woo_courselink\"><a title=\"Learn more about the course\" href=\"https:\/\/electrical-engineering-portal.com\/academy\/courses\/detect-identify-power-quality-problems-using-artificial-intelligence-ai\/\">See course details<\/a><\/div>\n","protected":false},"author":5226,"featured_media":26443,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[38],"product_tag":[2348,2347,2353,1965,2346,2355,2360,2361,2357,851,852,2354,2345,2352,2359,2351,2362,2349,2350,2358,2356,2344],"class_list":["post-26439","product","type-product","status-publish","has-post-thumbnail","product_cat-uncategorized","product_tag-ai","product_tag-artificial-inteligence","product_tag-flickers","product_tag-fourier-transform","product_tag-harmonic-distortion","product_tag-harmonics","product_tag-long-short-term-memory","product_tag-lstm","product_tag-normal-voltage-waveform","product_tag-power-quality","product_tag-power-quality-problems","product_tag-sag-waveform","product_tag-snr-db","product_tag-surges","product_tag-voltage-distortion-waveform","product_tag-voltage-interruption","product_tag-voltage-interruption-waveform","product_tag-voltage-sag","product_tag-voltage-swell","product_tag-voltage-swell-waveform","product_tag-voltage-waveform-without-noise","product_tag-waveform","first","instock","virtual","sold-individually","purchasable","product-type-course"],"yoast_head":"<!-- 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