Construction of electricity consumption mathematical models on railway transport used artificial neural network and fuzzy neural network

Author:

Komyakov A. A.,Nikiforov M. M.,Erbes V. V.,Cheremisin V. T.,Ivanchenko V. I.

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficient Train Operation Optimization in Istanbul Metro Network Considering Variable Passenger Numbers;Transportation Research Record: Journal of the Transportation Research Board;2023-11-09

2. Comparison and Analysis of Prediction Models for Locomotive Traction Energy Consumption Based on the Machine Learning;IEEE Access;2023

3. Statistical Studies of Acoustic Signals Measurements in Diagnostics of Power Transformers;Lecture Notes in Electrical Engineering;2023

4. Long-term forecasting the dynamics of energy losses in the heating networks of JSC “Russian Railways” on the basis of time series model;THE 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT, EPIDEMIOLOGY AND INFORMATION SYSTEM (ICENIS) 2021: Topic of Energy, Environment, Epidemiology, and Information System;2023

5. The Categorization of Methods and Means of Energy Optimized Control of Electric Railway Rolling Stock;Lecture Notes in Networks and Systems;2022-11-16

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