... using an AI-based technology. The system consists of two components: A centralised deep learning control system (DeepCS) for preventive security control and a decentralised multiagent control system (MACS) for emergency control. The DeepCS includes two deep neural networks - a deep multilayer perceptron to recognise reactive power injections and a long short-term memory network to predict system state after control actions. The MACS is a decentralised automatic Volt/VAr control that involves determining ...
Теги: control systems , deep neural networks , man machine systems , multilayer neural networks , current generation , intelligent techniques , learning control systems , multiagent control systems , reactive powerTao 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 the future pollution situation, which is useful for an efficient operation of air pollution control and helps to plan for prevention. Dynamics of air pollution are usually reflected by various factors, such as the...
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 pollutant
