نتایج جستجو برای: steel consumption forecasting

تعداد نتایج: 337224  

Industrial and experimental induction furnaces are used for melting various types of iron ingots, returned scraps and DRI sponge pellets to produce high purity cast - iron and steel heats. The lowest consumption of electrical energy determined for continuous feeding operation is 0.3 KWH/Kg for the production of cast - iron in a 1.5 - ton industrial furnace and 0.45 KWH/Kg for the production of ...

2005
J. Davis R. Geyer R. Clift A. Kwan M. Sansom

This paper presents an analysis of the use of iron and steel in the UK and explores how much of the iron and steel is recycled when it becomes obsolete after use. The first part of this paper series investigated production and consumption trends of iron and steel in the UK, whereas this paper focuses on scrap generation and recycling. Information on the amounts of iron and steel going into diff...

Journal: :Journal of basic microbiology 2007
Lúcia Chaves Simões Manuel Simões Rosário Oliveira Maria João Vieira

Heterotrophic bacteria (11 genera, 14 species, 25 putative strains) were isolated from drinking water, identified either biochemically or by partial 16s rDNA gene sequencing and their adherence characteristics were determined by two methods: i. thermodynamic prediction of adhesion potential by measuring hydrophobicity (contact angle measurements) and ii. by measuring adherence to eight differen...

Journal: Iranian Economic Review 2017

S teel industries play a key role in the national economy and welfare of the society in many steel manufacturer countries. It is found that manufacturing and consuming of steel products would be a key indicator to measure and evaluate economic and industrial performance of a country. Nowadays, countries with the large natural oil and gas resources (e.g. Iran) attempt to select an alt...

Journal: :Journal of the Japan Institute of Metals 2007

Journal: :Mathematical and Computational Applications 2008

Journal: :Applied sciences 2022

Power consumption forecasting is a crucial need for power management to achieve sustainable energy. The demand increasing over time, while the of possesses challenges with nonlinearity patterns and various noise in datasets. To this end, paper proposes RobustSTL temporal convolutional network (TCN) model forecast hourly consumption. Through RobustSTL, instead standard STL, decomposition method ...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2012
ahmad azari mojtaba shariaty-niassar mahmoud alborzi

the ability of artificial neural network (ann) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real  concern. as the most applicable network, the ann with multi-layer back propagation perceptrons is used to approximate functions. throughout the current work, the daily effective temperature is determined, and then the weather data w...

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