Forecasting the daily electricity consumption in Moscow region using artificial neural networks
Seminars
On Thursday, 26 May 2016 at 2.00 pm in room 310 of LIT a seminar “Forecasting the daily electricity consumption in Moscow region using artificial neural networks” will be held.
Authors: V.V. Ivanov1,2, A.V. Kryanev2,1, E.S. Osetrov3,2.
1 – JINR
2 – National Research Nuclear University “MEPhI”, Moscow
3 – FTI “Rostransmodernizatsiya”, Moscow
Speaker: E.S. Osetrov (National Research Nuclear University “MEPhI”, Moscow and FTI “Rostransmodernizatsiya”, Moscow)
Abstract
In the paper [1] we have demonstrated the possibility of short – term forecasting daily volumes of passenger’s traffic in the Moscow metro with the help of artificial neural networks. For training and predicting on the input of neural network is supplied a sample of the factors that affect the daily of passenger traffic on the subway. One of these factors – a daily power consumption in the Moscow region. Therefore, to predict the volume of passenger traffic on the subway, we must first solve the problem of forecasting daily energy consumption in the Moscow region.
[1] Forecasting of Moscow metro passenger’s traffic applying artificial neural networks
In the paper [1] we have demonstrated the possibility of short – term forecasting daily volumes of passenger’s traffic in the Moscow metro with the help of artificial neural networks. For training and predicting on the input of neural network is supplied a sample of the factors that affect the daily of passenger traffic on the subway. One of these factors – a daily power consumption in the Moscow region. Therefore, to predict the volume of passenger traffic on the subway, we must first solve the problem of forecasting daily energy consumption in the Moscow region.
[1] Forecasting of Moscow metro passenger’s traffic applying artificial neural networks