Search results

The power company sends reduction load notification in direct compensation or the signal of raised electricity prices when the signal wholesale electricity market prices rise or when system reliability is threatened [3].
It is able to provide real-time data segmented load, load-adjusted performance analysis, diagnosis and provide energy load reduction targets, energy information tools, etc [6].
The typical AMI architecture consists of five major components: smart meters, home area network (home area network, HAN), communication networks, metering data management system (metering data management system, MDMS) and AMI interface.
User portal (consumer portal) is a user-network interface, providing the user device control commands input (such as limited control authority the power company to the user equipment) and other interactive services and metering data management system to store and analyze the user's electricity consumption data.
Power management system can be used to manage user data for electricity, electricity demand response strategies and information.

With practical data of the BF ironmaking from Jiuquan Iron&Steel Cooperation Ltd.
Among the three main processes-blast furnace-converter (BF-BOF), direct reduction-electric arc furnace and scrap steel-electric arc furnace, BF-BOF occupies the dominant degree [1].
Data collecting and pre-processing In this paper, the whole continuous data (one group data is recorded once an hour) in two days were collected from BF system of Jiuquan Iron&Steel Cooperation, and the output and input parameter data heading is respectively shown in Table 1.
After multiple correlation investigation of independent variable aggregation (only part of correlation data is list), altitudinal multiple correlation phenomenon of X can be seen and so multiple regression model has bad reliability.
The regression model was set up by partial least square regression method with practical data from BF system; the calculation and analysis process is shown as below.

Ongel et al. (2007) [7] reported that the reduction in noise levels by using open graded mixes is directly related to the air void content and surface texture.
In order to analyse the noise data captured by the SLM, SVAN PC suite was used to transfer the noise data to a personal computer.
The increase in noise levels in the case of AC pavements with a reduction in temperature is essentially due to increased stiffness of asphalt concrete.
A TPIN linear regression model of the form shown in Eq. 1 is considered to fit the noise data collected on all the roads using the independent variables discussed previously.
The data pertaining to all the 8 asphalt pavements and 4 cement concrete pavements has been used to develop the comprehensive TPIN models for asphalt pavements (Eq. 2 to 7) and cement concrete pavements (Eq. 8 to 11), respectively for each mode.

Stress reduction effect of the CTE layer calculated by FEM.
Figure 6 presents the trend data of the maximum junction temperature (Tjmax) and thermal resistance (Rth) obtained from each test condition.
Fig. 6 Trend data of the maximum junction temperature (Tjmax) and thermal resistance (Rth) relative to the initial state.
Fig. 9 Trend data of the maximum junction temperature (Tjmax) and thermal resistance (Rth) relative to the initial state obtained at a condition of 115-250 ℃.
Fig. 10 Transient thermal resistance data of Structures J, K, and L measured before the test and after the EOL.

This lock-in technique improves the signal-to-noise ratio, making extracting meaningful data from the noisy environment easier.
These data are obtained by fixing the diode current to 200 nA for all the different temperatures.
The data of panel (a) are averaged over 20 measurements at each temperature.
Data are taken at 500 °C.
The high-temperature data are based on work supported by the Defense Advanced Research Projects Agency (DARPA) under Agreement No.

Obviously several experiments containing tensile, shear and pressure tests are necessary to obtain whole experimental data.
Thus, for determination of material data it is sufficient to examine yield loci only in the first quadrant of σ1-σ2-diagram under biaxial tensile stress conditions.
So the completed data builds an adequate input for FE-simulation where also compression stresses are possible, e.g. in usual deep drawing processes.
Basically, any kind of experimental setup is allowed to obtain searched data provided that plastification is detected in dependence of biaxial stress condition.
A main criterion is simplification of machinery to achieve cost reduction.

There is a sharp decrease in the influence of forces on the stress in the surface of the part of the distance to the point in question.The calculated data generated by the proposed method are highly matches with data during the experimental investigations.
Distribution of contact stresses over the contact area used in the calculations in accordance with the method of calculation as we earlier obtain this data.
Calculations of the proposed formula (3) compared well with various experimental data presented in the literature.
In particular, Fig.6 presents graphic dependences obtained on the basis of calculations by formula (3) in surface plastic deformation of the ball and the experimental data given in [2].
Acknowledgements The authors are grateful to Karaganda Metallurgical Combine administrators for allowing us to test the theory for fruitful data of results, to KBTU rector I.K. 

The article adopted index method in time-series flat forecast when predicting data that can be arranged in a time-series [5].
First, it doesn’t need to store a lot of historical data.
Second, data of different period is weighted in the model.
Table 6 gives the predicting data for residential electricity consumption strength, which are in different technical level from 2010 to 2050.
According to the data in Table 1, future electricity consumption per unit area is predicted by secondary exponential smoothing method.

Long term creep strength of the steels is evaluated from short term creep data by time-temperature parameter (TTP) methods based on temperature dependence of rupture life.
(2)) is unique for a set of creep rupture data to be analyzed.
Creep Rupture Behavior Creep rupture data of the same steel are given in Fig. 1 (b).
Correlation between Hardness Drop and Breakdown of Creep Strength Creep rupture data of steels S9, S10 and D12 tested at 650 oC are plotted in Fig. 2 (b).
This fact results in faster reduction of hardness observed in higher Cr steels.

Dimensionality Reduction and Recognition Method 3.1 Principal Component Analysis The method of PCA is a popular dimensional reduction technique with the goal to find a set of orthonormal vectors in the data space, which can maximize the data’s variance and map the data onto a lower dimensional subspace spanned by these vectors.
Therefore, eigenvectors can be written as a linear combination of data vectors.
We employ the traditional approach, which involves vectorizing the three-dimensional information and constructing a covariance matrix by using multiple instances of the vectorized data. 3.2 Dynamic Time Warping DTW[12] is a dynamic programming technique for template matching, which has originally been applied to problems of the field of speech processing.