NEURAL NETWORK MODELING IN PROBLEMS OF PREDICTION MODES OF ELECTRICAL GRIDS

• Date: 2016
• Main Authors: Moroz, A. N., Cheremisin, N. M., Cherkashina, V. V., Kholod, A. V.
• Format: Article
• Language: English; Russian
• Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2016
• Subjects: electric grid; neural grid; neuro-fuzzy grid; temperature monitoring of air electric line; prediction modes of electric grid; 621.315
• Online Access: https://eie.khpi.edu.ua/article/view/2074-272X.2016.1.12
• Journal Title: Electrical Engineering & Electromechanics

Purpose. Form a neuro-fuzzy network based on temperature monitoring of overhead transmission line for the prediction modes of the electrical network. Methodology. To predict the load capacity of the overhead line architecture provides the use of neuro-fuzzy network based on temperature monitoring of...