Edeleva O.., Stennikov V.A. Multi-criteria optimization of the heat energy sources structure // Proc. of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019). 2019. P.95-101. DOI: 10.2991/iwci-19.2019.17 In the article multi-criteria problem of optimization of heat energy sources is formulated, which provides reliable and safe heat supply to consumers with minimal impact of heat supply facilities...
Теги: heat source , heat supply system , critical infrastructure , air pollution , multi-criteria optimizationTao Q., Liu F., Li Y., Sidorov D. Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU // IEEE Access. Vol.7. ID: 8732985. 2019. P.76690-76698. DOI: 10.1109/ACCESS.2019.2921578 Air pollution forecasting can provide reliable information about ...
Теги: 1d convolutional neural networks , air pollution forecasting , bidirectional gated recurrent unit , deep learning , air pollution , air pollution control , convolution , deep neural networks , recurrent neural networks , wind , aerodynamic diameters , air pollutantMaysyuk E. Measures to prevent emissions of pollutants when burning coals in small-capacity boilers in the central ecological area of the Baikal natural territory // E3S Web of Conferences. Vol.77. ID: 04007. 2019. DOI: 10.1051/e3sconf/20197704007 The paper presents a brief description of the municipal coal-fired boiler plants of the central ecological zone and estimation of the emission of pollutants into the atmosphere. The intensity and volume of emissions depend on many factors. These are the...
Теги: best available technologies , emissions to the atmosphere , flue gas cleaning , fuel preparation for combustion , small-capacity heat sources , air pollution , cleaning , coal , coal combustion , energy policy , flue gases , flues , fossil fuel power plants , fuels , g
