scholarly journals Drought Impacts on Bioenergy Supply System Risk and Biomass Composition

Author(s):  
Amber Hoover ◽  
Rachel Emerson ◽  
Jason Hansen ◽  
Damon Hartley ◽  
Allison Ray
Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7010
Author(s):  
Xuefei Li ◽  
Liangtu Song ◽  
Liu Liu ◽  
Linli Zhou

Gas supply system risk assessment is a serious and important problem in cities. Existing methods tend to manually build mathematical models to predict risk value from single-modal information, i.e., pipeline parameters. In this paper, we attempt to consider this problem from a deep-learning perspective and define a novel task, Urban Gas Supply System Risk Assessment (GSS-RA). To drive deep-learning techniques into this task, we collect and build a domain-specific dataset GSS-20K containing multi-modal data. Accompanying the dataset, we design a new deep-learning framework named GSS-RiskAsser to learn risk prediction. In our method, we design a parallel-transformers Vision Embedding Transformer (VET) and Score Matrix Transformer (SMT) to process multi-modal information, and then propose a Multi-Modal Fusion (MMF) module to fuse the features with a cross-attention mechanism. Experiments show that GSS-RiskAsser could work well on GSS-RA task and facilitate practical applications. Our data and code will be made publicly available.


2014 ◽  
Vol 960-961 ◽  
pp. 1508-1511
Author(s):  
Qing Min Si ◽  
Xing Bai Zhang ◽  
Xue Ying Jiang ◽  
Lei Tian ◽  
Gong Xin Yu

Urban power supply system has close relationship with urban public safety. The main risk factors, accident types and the risk degree of failures or accidents in urban power supply system are analyzed. And, it has established the public safety risk assessment system of urban power supply system. In order to show that the assessment system has good applicability in the risk assessment of urban power supply system, the power supply system safety of one urban is assessed using established risk assessment system.


2019 ◽  
Vol 2 (1) ◽  
pp. 8-16 ◽  
Author(s):  
P. A. Khlyupin ◽  
G. N. Ispulaeva

Introduction: The co-authors provide an overview of the main types of wind turbines and power generators installed into wind energy devices, as well as advanced technological solutions. The co-authors have identified the principal strengths and weaknesses of existing wind power generators, if applied as alternative energy sources. The co-authors have proven the need to develop an algorithm for the selection of a wind generator-based autonomous power supply system in the course of designing windmill farms in Russia. Methods: The co-authors have analyzed several types of wind turbines and power generators. Results and discussions: The algorithm for the selection of a wind generator-based autonomous power supply system is presented as a first approximation. Conclusion: The emerging algorithm enables designers to develop an effective wind generator-based autonomous power supply system.


2017 ◽  
Vol 25 (101) ◽  
pp. 34-43 ◽  
Author(s):  
Vladyslav, Lysiak ◽  
◽  
Myroslav, Sabat ◽  
Yurii, Shelekh

2008 ◽  
Vol 128 (1) ◽  
pp. 32-38 ◽  
Author(s):  
Takaya Yamamoto ◽  
Tomihiro Takano ◽  
Yoshiyuki Takuma ◽  
Makoto Inoue ◽  
Gen Arao

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