Medium-Term Forecast of Water Inflow to the Sayano-Shushenskaya Hydroelectric Power Plant Reservoir by Autoregressive Machine Learning Models-Reference-Cited by-同舟云学术

Medium-Term Forecast of Water Inflow to the Sayano-Shushenskaya Hydroelectric Power Plant Reservoir by Autoregressive Machine Learning Models

Published:2023-11-10 Issue: Volume: Page:
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Container-title:2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE)
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Author:

Cheganova Natalia F.¹,Matrenin Pavel V.²,Mitrofanov Sergey V.²

Affiliation:

1. Novosibirsk State Technical University,Industrial Power Supply Systems Department,Novosibirsk,Russia

2. Novosibirsk State Technical University,Industrial Power Supply Systems Development,Novosibirsk,Russia

Funder

Russian Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347555/10347542/10347751.pdf?arnumber=10347751

Reference11 articles.

1. Forecasting of water inflow to Krasnoyarsk and Sayano-Shushenskaya reservoirs in the second quarter of the year [Prognozirovanie pritoka vody v Krasnoyarsko i Sayano-SHushenskoe vodohranilishcha vo vtorom kvartale goda];Burakov;Geography and natural resources [Georgafiya i prorodnye resursy],2016

2. Data processing technology for the forecasting of the water inflow into a reservoir with the use of earth remote sensing and the network of meteorological and hydrological posts [Tekhnologiya obrabotki dannyh dlya prognozirovaniya pritoka vody v vodohranilishche pri ispolzovanii distancionnogo zondirovaniya Zemli i seti meteorologicheskih i gidrologicheskih postov];Eroshenko;Problems of the Regional Energetics [Problemy regionalnoj energetiki],2022

3. Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand

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