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Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution

..., Liu F., Sidorov D. Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution // Advances in Intelligent Systems and Computing. Vol.1072. 2020. P.369-378. ISBN (print): 9783030335847. DOI: 10.1007/978-3-030-33585-4_37 Forecasting problems exist widely in our life. Its purpose is to enable decision makers to make effective responses to future changes. The traditional prediction methods based on probability and statistics cannot guarantee the accuracy of multivariable ...

Теги: deep learning , forecasting , gru , lstm , decision making , intelligent computing , learning algorithms , machine learning , pollution , forecasting modeling , forecasting models , forecasting problems , neural netwo
Раздел: ИСЭМ СО РАН
Study of the forecasting problem of energy consumption of water pumping station

Alekseev A.V. Study of the forecasting problem of energy consumption of water pumping station // E3S Web of Conferences. Vol.102. ID: 03001. 2019. DOI: 10.1051/e3sconf/201910203001 The article describes the study of the energy consumption forecasting of city water pumping station. The review of the existing approaches for technical systems energy consumption forecasting is made. The shot description of the studied object properties including hourly energy consumption is presented. Two often used...

Теги: energy utilization , hydraulic equipment , pipelines , pumping plants , regression analysis , exponential smoothing , forecasting methods , forecasting problems , moving average method , object property , techn
Раздел: ИСЭМ СО РАН


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