UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY

• Видавець: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine”
• Дата: 2019
• Автори: Rahmani, Ala eddine, Slimani, Linda, Bouktir, Tarek
• Формат: Стаття
• Мова: English
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2019
• Теми: unbalanced load flow; wavelet transform (WT); support vector machines (SVM); power quality disturbance; wavelet energy; 621.3; несбалансированный поток нагрузки; вейвлет-преобразование (WT); машины опорных векторов (SVM); нарушение качества электроэнергии; энергия вейвлета
• Онлайн доступ: http://eie.khpi.edu.ua/article/view/2074-272X.2019.6.09

Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality distur...