نتایج جستجو برای: steel consumption forecasting
تعداد نتایج: 337224 فیلتر نتایج به سال:
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 ...
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...
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...
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...
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 ...
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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